=============================================================================== About this build: this rebuild has been done as part of reproduce.debian.net where we aim to reproduce Debian binary packages distributed via ftp.debian.org, by rebuilding using the exact same packages as the original build on the buildds, as described in the relevant .buildinfo file from buildinfos.debian.net. For more information please go to https://reproduce.debian.net or join #debian-reproducible on irc.debian.org =============================================================================== Preparing download of sources for /srv/rebuilderd/tmp/rebuilderdhnbgN8/inputs/r-cran-glmnet_4.1-8-1_amd64.buildinfo Source: r-cran-glmnet Version: 4.1-8-1 rebuilderd-worker node: osuosl4-amd64 +------------------------------------------------------------------------------+ | Downloading sources Fri, 20 Jun 2025 21:12:33 +0000 | +------------------------------------------------------------------------------+ Get:1 https://deb.debian.org/debian trixie InRelease [166 kB] Get:2 https://deb.debian.org/debian sid InRelease [208 kB] Get:3 https://deb.debian.org/debian trixie/main Sources [10.5 MB] Get:4 https://deb.debian.org/debian sid/main Sources [11.0 MB] Fetched 21.9 MB in 2s (8,909 kB/s) Reading package lists... 'https://deb.debian.org/debian/pool/main/r/r-cran-glmnet/r-cran-glmnet_4.1-8-1.dsc' r-cran-glmnet_4.1-8-1.dsc 2137 SHA256:b9aa4ee6da76b4c59d633c8ec34e38dbbc50acad7bfa4a78b9d3bd4552fa7dae 'https://deb.debian.org/debian/pool/main/r/r-cran-glmnet/r-cran-glmnet_4.1-8.orig.tar.gz' r-cran-glmnet_4.1-8.orig.tar.gz 2439515 SHA256:1ddbe5ce07076d1bdf58b0202ebd0ceac8eeb4796c5175681adb9e58c30ddcfe 'https://deb.debian.org/debian/pool/main/r/r-cran-glmnet/r-cran-glmnet_4.1-8-1.debian.tar.xz' r-cran-glmnet_4.1-8-1.debian.tar.xz 3120 SHA256:da0c619cdbdd97d946cb6d7959384ff7f534fed9548c03415cc882b3c8ab396c 1ddbe5ce07076d1bdf58b0202ebd0ceac8eeb4796c5175681adb9e58c30ddcfe r-cran-glmnet_4.1-8.orig.tar.gz da0c619cdbdd97d946cb6d7959384ff7f534fed9548c03415cc882b3c8ab396c r-cran-glmnet_4.1-8-1.debian.tar.xz b9aa4ee6da76b4c59d633c8ec34e38dbbc50acad7bfa4a78b9d3bd4552fa7dae r-cran-glmnet_4.1-8-1.dsc +------------------------------------------------------------------------------+ | Calling debrebuild Fri, 20 Jun 2025 21:12:37 +0000 | +------------------------------------------------------------------------------+ Rebuilding r-cran-glmnet=4.1-8-1 in /srv/rebuilderd/tmp/rebuilderdhnbgN8/inputs now. + nice /usr/bin/debrebuild --buildresult=/srv/rebuilderd/tmp/rebuilderdhnbgN8/out --builder=sbuild+unshare --cache=/srv/rebuilderd/cache -- /srv/rebuilderd/tmp/rebuilderdhnbgN8/inputs/r-cran-glmnet_4.1-8-1_amd64.buildinfo /srv/rebuilderd/tmp/rebuilderdhnbgN8/inputs/r-cran-glmnet_4.1-8-1_amd64.buildinfo contains a GPG signature which has NOT been validated Using defined Build-Path: /build/reproducible-path/r-cran-glmnet-4.1-8 I: verifying dsc... successful! Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid InRelease [210 kB] Get:2 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 Packages [9577 kB] Fetched 9787 kB in 1s (9728 kB/s) Reading package lists... W: http://snapshot.debian.org/archive/debian/20230824T211842Z/dists/sid/InRelease: Loading /etc/apt/trusted.gpg from deprecated option Dir::Etc::Trusted Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libp11-kit0 amd64 0.25.0-4 [413 kB] Fetched 413 kB in 0s (33.7 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpmh9l7k72/libp11-kit0_0.25.0-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 dh-strip-nondeterminism all 1.13.1-1 [8620 B] Fetched 8620 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpteptl5u0/dh-strip-nondeterminism_1.13.1-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpixman-1-0 amd64 0.42.2-1 [546 kB] Fetched 546 kB in 0s (47.2 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp_jmve9rf/libpixman-1-0_0.42.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgomp1 amd64 13.2.0-2 [131 kB] Fetched 131 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpjqgofwq2/libgomp1_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libjpeg62-turbo-dev amd64 1:2.1.5-2 [290 kB] Fetched 290 kB in 0s (28.6 MB/s) dpkg-name: info: moved 'libjpeg62-turbo-dev_1%3a2.1.5-2_amd64.deb' to '/srv/rebuilderd/tmp/tmpm6asqdus/libjpeg62-turbo-dev_2.1.5-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libncursesw6 amd64 6.4+20230625-2 [134 kB] Fetched 134 kB in 0s (11.5 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpuuw385l0/libncursesw6_6.4+20230625-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpaper1 amd64 1.1.29 [12.5 kB] Fetched 12.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpxdbhk03h/libpaper1_1.1.29_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsub-exporter-perl all 0.990-1 [50.6 kB] Fetched 50.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp636h3xhh/libsub-exporter-perl_0.990-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 perl amd64 5.36.0-8 [239 kB] Fetched 239 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp7ouptj9g/perl_5.36.0-8_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 liblzma5 amd64 5.4.1-0.2 [205 kB] Fetched 205 kB in 0s (19.0 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp682y0p8_/liblzma5_5.4.1-0.2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libstdc++6 amd64 13.2.0-2 [694 kB] Fetched 694 kB in 0s (50.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpwng7v5t4/libstdc++6_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2+b2 [60.8 kB] Fetched 60.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp73m4ilta/librtmp1_2.4+20151223.gitfa8646d.1-2+b2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtsan2 amd64 13.2.0-2 [2334 kB] Fetched 2334 kB in 0s (102 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpsp6hv03d/libtsan2_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libclone-perl amd64 0.46-1 [13.7 kB] Fetched 13.7 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpv26pscn_/libclone-perl_0.46-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdevel-overloadinfo-perl all 0.007-1 [7896 B] Fetched 7896 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp56_tq4_0/libdevel-overloadinfo-perl_0.007-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxt6 amd64 1:1.2.1-1.1 [186 kB] Fetched 186 kB in 0s (18.2 MB/s) dpkg-name: info: moved 'libxt6_1%3a1.2.1-1.1_amd64.deb' to '/srv/rebuilderd/tmp/tmps5lenc9t/libxt6_1.2.1-1.1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libzstd1 amd64 1.5.5+dfsg2-1 [293 kB] Fetched 293 kB in 0s (26.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpo64l0eio/libzstd1_1.5.5+dfsg2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpackage-stash-perl all 0.40-1 [22.0 kB] Fetched 22.0 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpk6bbki2x/libpackage-stash-perl_0.40-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsub-override-perl all 0.09-4 [9304 B] Fetched 9304 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpfzvn1hxm/libsub-override-perl_0.09-4_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 zlib1g amd64 1:1.2.13.dfsg-3 [87.0 kB] Fetched 87.0 kB in 0s (8155 kB/s) dpkg-name: info: moved 'zlib1g_1%3a1.2.13.dfsg-3_amd64.deb' to '/srv/rebuilderd/tmp/tmprpg0wxoa/zlib1g_1.2.13.dfsg-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpam-modules-bin amd64 1.5.2-7 [50.7 kB] Fetched 50.7 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpmxpu1w7k/libpam-modules-bin_1.5.2-7_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 bsdutils amd64 1:2.39.2-1 [96.1 kB] Fetched 96.1 kB in 0s (0 B/s) dpkg-name: info: moved 'bsdutils_1%3a2.39.2-1_amd64.deb' to '/srv/rebuilderd/tmp/tmplifjpkns/bsdutils_2.39.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 m4 amd64 1.4.19-3 [287 kB] Fetched 287 kB in 0s (25.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp9fn3bkyz/m4_1.4.19-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libacl1 amd64 2.3.1-3 [31.5 kB] Fetched 31.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp157a9hb5/libacl1_2.3.1-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-matrix amd64 1.6-1-1 [3866 kB] Fetched 3866 kB in 0s (62.0 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpi6pcac8e/r-cran-matrix_1.6-1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libhogweed6 amd64 3.9.1-2 [327 kB] Fetched 327 kB in 0s (29.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpwp57hbsd/libhogweed6_3.9.1-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libice6 amd64 2:1.0.10-1 [58.5 kB] Fetched 58.5 kB in 0s (0 B/s) dpkg-name: info: moved 'libice6_2%3a1.0.10-1_amd64.deb' to '/srv/rebuilderd/tmp/tmphy3r3o46/libice6_1.0.10-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpango-1.0-0 amd64 1.51.0+ds-2 [213 kB] Fetched 213 kB in 0s (20.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpqb01gd5m/libpango-1.0-0_1.51.0+ds-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 liblapack-dev amd64 3.11.0-2 [4631 kB] Fetched 4631 kB in 0s (127 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp4yrg_5iw/liblapack-dev_3.11.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-base-dev all 4.3.1-4 [4512 B] Fetched 4512 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp82hadv79/r-base-dev_4.3.1-4_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 file amd64 1:5.44-3 [42.5 kB] Fetched 42.5 kB in 0s (0 B/s) dpkg-name: info: moved 'file_1%3a5.44-3_amd64.deb' to '/srv/rebuilderd/tmp/tmp857pybww/file_5.44-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libreadline-dev amd64 8.2-1.3 [151 kB] Fetched 151 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpa9953w2p/libreadline-dev_8.2-1.3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmpfr6 amd64 4.2.0-1 [701 kB] Fetched 701 kB in 0s (52.3 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpxzygnhuh/libmpfr6_4.2.0-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 login amd64 1:4.13+dfsg1-1+b1 [616 kB] Fetched 616 kB in 0s (46.3 MB/s) dpkg-name: info: moved 'login_1%3a4.13+dfsg1-1+b1_amd64.deb' to '/srv/rebuilderd/tmp/tmpaa5iixb9/login_4.13+dfsg1-1+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libc6-dev amd64 2.37-7 [1903 kB] Fetched 1903 kB in 0s (92.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp3za28rwi/libc6-dev_2.37-7_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 util-linux amd64 2.39.2-1 [1224 kB] Fetched 1224 kB in 0s (70.0 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpt8uytzg1/util-linux_2.39.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libclass-load-perl all 0.25-2 [15.3 kB] Fetched 15.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpseku5zk1/libclass-load-perl_0.25-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 liblz4-1 amd64 1.9.4-1 [62.9 kB] Fetched 62.9 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpvqo5k27p/liblz4-1_1.9.4-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtasn1-6 amd64 4.19.0-3 [48.3 kB] Fetched 48.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpm1wg9ca0/libtasn1-6_4.19.0-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxext6 amd64 2:1.3.4-1+b1 [52.9 kB] Fetched 52.9 kB in 0s (0 B/s) dpkg-name: info: moved 'libxext6_2%3a1.3.4-1+b1_amd64.deb' to '/srv/rebuilderd/tmp/tmp65qpcaga/libxext6_1.3.4-1+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libfreetype6 amd64 2.13.1+dfsg-1 [435 kB] Fetched 435 kB in 0s (37.7 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpabs0tu7x/libfreetype6_2.13.1+dfsg-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsframe1 amd64 2.41-4 [75.1 kB] Fetched 75.1 kB in 0s (2217 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp6w2ri0d5/libsframe1_2.41-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libhttp-date-perl all 6.05-2 [10.5 kB] Fetched 10.5 kB in 0s (1013 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp42qau8nc/libhttp-date-perl_6.05-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 readline-common all 8.2-1.3 [69.0 kB] Fetched 69.0 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpixt4jjtp/readline-common_8.2-1.3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libfile-find-rule-perl all 0.34-3 [26.6 kB] Fetched 26.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpi03_r8h8/libfile-find-rule-perl_0.34-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpackage-stash-xs-perl amd64 0.30-1+b1 [19.8 kB] Fetched 19.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmprn1gaiuk/libpackage-stash-xs-perl_0.30-1+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libncurses6 amd64 6.4+20230625-2 [103 kB] Fetched 103 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpna8ehqpp/libncurses6_6.4+20230625-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 patch amd64 2.7.6-7 [128 kB] Fetched 128 kB in 0s (11.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpr2h_mnbp/patch_2.7.6-7_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libbinutils amd64 2.41-4 [512 kB] Fetched 512 kB in 0s (43.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp838u2zrz/libbinutils_2.41-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtk8.6 amd64 8.6.13-2 [781 kB] Fetched 781 kB in 0s (61.0 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpid99v1bj/libtk8.6_8.6.13-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libk5crypto3 amd64 1.20.1-3 [79.1 kB] Fetched 79.1 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpf7xphuuy/libk5crypto3_1.20.1-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 binutils-x86-64-linux-gnu amd64 2.41-4 [2219 kB] Fetched 2219 kB in 0s (94.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpmlvraa5v/binutils-x86-64-linux-gnu_2.41-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxss1 amd64 1:1.2.3-1 [17.8 kB] Fetched 17.8 kB in 0s (0 B/s) dpkg-name: info: moved 'libxss1_1%3a1.2.3-1_amd64.deb' to '/srv/rebuilderd/tmp/tmpioiw0clf/libxss1_1.2.3-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 base-files amd64 13 [70.6 kB] Fetched 70.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmphah06kmm/base-files_13_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-shape all 1.4.6-1 [770 kB] Fetched 770 kB in 0s (12.5 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp90qt8lrx/r-cran-shape_1.4.6-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 gcc-13-base amd64 13.2.0-2 [39.3 kB] Fetched 39.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmps7kxnwf7/gcc-13-base_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libfontconfig1 amd64 2.14.2-4 [386 kB] Fetched 386 kB in 0s (31.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp5dych8ht/libfontconfig1_2.14.2-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtirpc3 amd64 1.3.3+ds-1 [85.2 kB] Fetched 85.2 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpmwfon4jp/libtirpc3_1.3.3+ds-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 liblapack3 amd64 3.11.0-2 [2323 kB] Fetched 2323 kB in 0s (101 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpys7l92q3/liblapack3_3.11.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 debhelper all 13.11.5 [952 kB] Fetched 952 kB in 0s (63.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp9fcd0az5/debhelper_13.11.5_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsub-name-perl amd64 0.27-1 [12.5 kB] Fetched 12.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpp98leh42/libsub-name-perl_0.27-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 automake all 1:1.16.5-1.3 [823 kB] Fetched 823 kB in 0s (58.8 MB/s) dpkg-name: info: moved 'automake_1%3a1.16.5-1.3_all.deb' to '/srv/rebuilderd/tmp/tmpjgxzu4p1/automake_1.16.5-1.3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libx11-6 amd64 2:1.8.6-1 [793 kB] Fetched 793 kB in 0s (59.2 MB/s) dpkg-name: info: moved 'libx11-6_2%3a1.8.6-1_amd64.deb' to '/srv/rebuilderd/tmp/tmpaufpax43/libx11-6_1.8.6-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmpc3 amd64 1.3.1-1 [51.5 kB] Fetched 51.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmph8tlprdg/libmpc3_1.3.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxmuu1 amd64 2:1.1.3-3 [23.9 kB] Fetched 23.9 kB in 0s (0 B/s) dpkg-name: info: moved 'libxmuu1_2%3a1.1.3-3_amd64.deb' to '/srv/rebuilderd/tmp/tmpwd9nq9e_/libxmuu1_1.1.3-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtext-glob-perl all 0.11-3 [7676 B] Fetched 7676 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpqa267qn6/libtext-glob-perl_0.11-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-rcpp amd64 1.0.11-1 [2064 kB] Fetched 2064 kB in 0s (94.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpe3rz_1zx/r-cran-rcpp_1.0.11-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 g++-13 amd64 13.2.0-2 [10.9 MB] Fetched 10.9 MB in 0s (135 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp7vd9z88b/g++-13_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-codetools all 0.2-19-1 [90.9 kB] Fetched 90.9 kB in 0s (4870 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp65ps3zgz/r-cran-codetools_0.2-19-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgraphite2-3 amd64 1.3.14-1 [81.2 kB] Fetched 81.2 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpveihcn42/libgraphite2-3_1.3.14-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 fonts-noto-mono all 20201225-2 [398 kB] Fetched 398 kB in 0s (10.5 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpuunkasol/fonts-noto-mono_20201225-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgmp10 amd64 2:6.3.0+dfsg-2 [557 kB] Fetched 557 kB in 0s (42.0 MB/s) dpkg-name: info: moved 'libgmp10_2%3a6.3.0+dfsg-2_amd64.deb' to '/srv/rebuilderd/tmp/tmp1fbr07xv/libgmp10_6.3.0+dfsg-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libcairo2 amd64 1.16.0-7 [575 kB] Fetched 575 kB in 0s (44.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpshkfoqi3/libcairo2_1.16.0-7_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libbz2-dev amd64 1.0.8-5+b1 [30.9 kB] Fetched 30.9 kB in 0s (2881 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp58119u_n/libbz2-dev_1.0.8-5+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 cpp amd64 4:13.2.0-1 [6992 B] Fetched 6992 B in 0s (0 B/s) dpkg-name: info: moved 'cpp_4%3a13.2.0-1_amd64.deb' to '/srv/rebuilderd/tmp/tmpxsvuwefc/cpp_13.2.0-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-foreach all 1.5.2-1 [122 kB] Fetched 122 kB in 0s (667 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp3czhtrmg/r-cran-foreach_1.5.2-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 littler all 0.3.18-2 [14.8 kB] Fetched 14.8 kB in 0s (794 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmprv3p5bpo/littler_0.3.18-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 g++ amd64 4:13.2.0-1 [1356 B] Fetched 1356 B in 0s (0 B/s) dpkg-name: info: moved 'g++_4%3a13.2.0-1_amd64.deb' to '/srv/rebuilderd/tmp/tmpfkudtz43/g++_13.2.0-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtirpc-common all 1.3.3+ds-1 [14.0 kB] Fetched 14.0 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp989b1rqh/libtirpc-common_1.3.3+ds-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libclass-c3-perl all 0.35-2 [21.0 kB] Fetched 21.0 kB in 0s (2098 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp5x50e239/libclass-c3-perl_0.35-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libquadmath0 amd64 13.2.0-2 [145 kB] Fetched 145 kB in 0s (14.0 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpfqh668dm/libquadmath0_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 sensible-utils all 0.0.20 [19.3 kB] Fetched 19.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpll4ij1rg/sensible-utils_0.0.20_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libkrb5-3 amd64 1.20.1-3 [333 kB] Fetched 333 kB in 0s (29.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp99yh5y4j/libkrb5-3_1.20.1-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 binutils amd64 2.41-4 [80.0 kB] Fetched 80.0 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpn3tb_p75/binutils_2.41-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-rcppeigen amd64 0.3.3.9.3-1 [1191 kB] Fetched 1191 kB in 0s (12.0 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpi_l0e090/r-cran-rcppeigen_0.3.3.9.3-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 tar amd64 1.34+dfsg-1.2 [836 kB] Fetched 836 kB in 0s (59.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpzsxnqnx7/tar_1.34+dfsg-1.2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libseccomp2 amd64 2.5.4-1+b3 [46.6 kB] Fetched 46.6 kB in 0s (4521 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpfl2lh1jc/libseccomp2_2.5.4-1+b3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-lattice amd64 0.21-8-2 [1371 kB] Fetched 1371 kB in 0s (20.2 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpucsfys0x/r-cran-lattice_0.21-8-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgcc-s1 amd64 13.2.0-2 [57.7 kB] Fetched 57.7 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpllbe5hng/libgcc-s1_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdata-optlist-perl all 0.114-1 [10.6 kB] Fetched 10.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpaee7c9s9/libdata-optlist-perl_0.114-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsub-exporter-progressive-perl all 0.001013-3 [7496 B] Fetched 7496 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp3ldmu_fp/libsub-exporter-progressive-perl_0.001013-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 coreutils amd64 9.1-1 [2897 kB] Fetched 2897 kB in 0s (102 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpt_3wokar/coreutils_9.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdevel-callchecker-perl amd64 0.008-2 [15.8 kB] Fetched 15.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp7ddtvzcj/libdevel-callchecker-perl_0.008-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 usrmerge all 35 [12.5 kB] Fetched 12.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmplmay4f0u/usrmerge_35_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 liblwp-mediatypes-perl all 6.04-2 [20.2 kB] Fetched 20.2 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp9ylg98_5/liblwp-mediatypes-perl_6.04-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxft2 amd64 2.3.6-1 [61.8 kB] Fetched 61.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpsosh3el8/libxft2_2.3.6-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgssapi-krb5-2 amd64 1.20.1-3 [134 kB] Fetched 134 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpmssebud7/libgssapi-krb5-2_1.20.1-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libuchardet0 amd64 0.0.7-1 [67.8 kB] Fetched 67.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpmd56ujv3/libuchardet0_0.0.7-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 gfortran-13 amd64 13.2.0-2 [10.6 MB] Fetched 10.6 MB in 2s (6034 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp48av9mhb/gfortran-13_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdpkg-perl all 1.21.22 [603 kB] Fetched 603 kB in 0s (46.2 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpxma6c16a/libdpkg-perl_1.21.22_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 dpkg-dev all 1.21.22 [1353 kB] Fetched 1353 kB in 0s (63.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpuyuxb6u_/dpkg-dev_1.21.22_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libbsd0 amd64 0.11.7-4 [115 kB] Fetched 115 kB in 0s (10.7 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpl6qy5oz_/libbsd0_0.11.7-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libthai0 amd64 0.1.29-1 [57.5 kB] Fetched 57.5 kB in 0s (5661 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpieooznoi/libthai0_0.1.29-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 x11-common all 1:7.7+23 [252 kB] Fetched 252 kB in 0s (25.2 MB/s) dpkg-name: info: moved 'x11-common_1%3a7.7+23_all.deb' to '/srv/rebuilderd/tmp/tmpzu5kuyp3/x11-common_7.7+23_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 perl-modules-5.36 all 5.36.0-8 [2816 kB] Fetched 2816 kB in 0s (101 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpoou_h575/perl-modules-5.36_5.36.0-8_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmd0 amd64 1.1.0-1 [35.5 kB] Fetched 35.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpz87t064m/libmd0_1.1.0-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgdbm-compat4 amd64 1.23-3 [48.2 kB] Fetched 48.2 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp2h9qy_1m/libgdbm-compat4_1.23-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libjpeg-dev amd64 1:2.1.5-2 [71.8 kB] Fetched 71.8 kB in 0s (0 B/s) dpkg-name: info: moved 'libjpeg-dev_1%3a2.1.5-2_amd64.deb' to '/srv/rebuilderd/tmp/tmpexf30p2a/libjpeg-dev_2.1.5-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdevel-stacktrace-perl all 2.0400-2 [26.8 kB] Fetched 26.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp00ly11yz/libdevel-stacktrace-perl_2.0400-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 dh-r all 20230722 [40.6 kB] Fetched 40.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp_h7t6db6/dh-r_20230722_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsmartcols1 amd64 2.39.2-1 [116 kB] Fetched 116 kB in 0s (11.0 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpar0ohtol/libsmartcols1_2.39.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 zip amd64 3.0-13 [230 kB] Fetched 230 kB in 0s (21.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpluyohyfl/zip_3.0-13_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 binutils-common amd64 2.41-4 [2511 kB] Fetched 2511 kB in 0s (95.0 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpe_8b6ifh/binutils-common_2.41-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpsl5 amd64 0.21.2-1 [58.7 kB] Fetched 58.7 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpog49xbl5/libpsl5_0.21.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpkgconf3 amd64 1.8.1-1 [36.1 kB] Fetched 36.1 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp5y3nodjh/libpkgconf3_1.8.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 gzip amd64 1.12-1 [140 kB] Fetched 140 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp8sokhvdq/gzip_1.12-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmoose-perl amd64 2.2206-1 [795 kB] Fetched 795 kB in 0s (54.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpez9y0gyg/libmoose-perl_2.2206-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsystemd0 amd64 254.1-2 [355 kB] Fetched 355 kB in 0s (32.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp5umc_r7a/libsystemd0_254.1-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtool all 2.4.7-7 [517 kB] Fetched 517 kB in 0s (41.7 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpscnjocpz/libtool_2.4.7-7_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libparams-util-perl amd64 1.102-2+b1 [24.8 kB] Fetched 24.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp97bzbd39/libparams-util-perl_1.102-2+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libnsl2 amd64 1.3.0-2 [39.5 kB] Fetched 39.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpfr0kv63o/libnsl2_1.3.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 zlib1g-dev amd64 1:1.2.13.dfsg-3 [917 kB] Fetched 917 kB in 0s (60.5 MB/s) dpkg-name: info: moved 'zlib1g-dev_1%3a1.2.13.dfsg-3_amd64.deb' to '/srv/rebuilderd/tmp/tmpzzzhggfm/zlib1g-dev_1.2.13.dfsg-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libio-html-perl all 1.004-3 [16.2 kB] Fetched 16.2 kB in 0s (1594 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp0mxmesog/libio-html-perl_1.004-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libcrypt-dev amd64 1:4.4.36-2 [118 kB] Fetched 118 kB in 0s (0 B/s) dpkg-name: info: moved 'libcrypt-dev_1%3a4.4.36-2_amd64.deb' to '/srv/rebuilderd/tmp/tmpj_o6x1_x/libcrypt-dev_4.4.36-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpangoft2-1.0-0 amd64 1.51.0+ds-2 [46.2 kB] Fetched 46.2 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp5h9pciet/libpangoft2-1.0-0_1.51.0+ds-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 groff-base amd64 1.23.0-2 [1176 kB] Fetched 1176 kB in 0s (32.1 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmphp4kc8j3/groff-base_1.23.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdb5.3 amd64 5.3.28+dfsg2-2 [696 kB] Fetched 696 kB in 0s (52.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp0au5lh70/libdb5.3_5.3.28+dfsg2-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 icu-devtools amd64 72.1-3 [206 kB] Fetched 206 kB in 0s (19.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpujx_v719/icu-devtools_72.1-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libjansson4 amd64 2.14-2 [40.8 kB] Fetched 40.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp9fwbn0sc/libjansson4_2.14-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpng-dev amd64 1.6.40-1 [359 kB] Fetched 359 kB in 0s (33.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp40k0mpcu/libpng-dev_1.6.40-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libicu-dev amd64 72.1-3 [10.3 MB] Fetched 10.3 MB in 0s (137 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp4husjsuv/libicu-dev_72.1-3_amd64.deb' Downloading dependency 1 of 318: libp11-kit0:amd64=0.25.0-4 Downloading dependency 2 of 318: dh-strip-nondeterminism:amd64=1.13.1-1 Downloading dependency 3 of 318: libpixman-1-0:amd64=0.42.2-1 Downloading dependency 4 of 318: libgomp1:amd64=13.2.0-2 Downloading dependency 5 of 318: libjpeg62-turbo-dev:amd64=1:2.1.5-2 Downloading dependency 6 of 318: libncursesw6:amd64=6.4+20230625-2 Downloading dependency 7 of 318: libpaper1:amd64=1.1.29 Downloading dependency 8 of 318: libsub-exporter-perl:amd64=0.990-1 Downloading dependency 9 of 318: perl:amd64=5.36.0-8 Downloading dependency 10 of 318: liblzma5:amd64=5.4.1-0.2 Downloading dependency 11 of 318: libstdc++6:amd64=13.2.0-2 Downloading dependency 12 of 318: librtmp1:amd64=2.4+20151223.gitfa8646d.1-2+b2 Downloading dependency 13 of 318: libtsan2:amd64=13.2.0-2 Downloading dependency 14 of 318: libclone-perl:amd64=0.46-1 Downloading dependency 15 of 318: libdevel-overloadinfo-perl:amd64=0.007-1 Downloading dependency 16 of 318: libxt6:amd64=1:1.2.1-1.1 Downloading dependency 17 of 318: libzstd1:amd64=1.5.5+dfsg2-1 Downloading dependency 18 of 318: libpackage-stash-perl:amd64=0.40-1 Downloading dependency 19 of 318: libsub-override-perl:amd64=0.09-4 Downloading dependency 20 of 318: zlib1g:amd64=1:1.2.13.dfsg-3 Downloading dependency 21 of 318: libpam-modules-bin:amd64=1.5.2-7 Downloading dependency 22 of 318: bsdutils:amd64=1:2.39.2-1 Downloading dependency 23 of 318: m4:amd64=1.4.19-3 Downloading dependency 24 of 318: libacl1:amd64=2.3.1-3 Downloading dependency 25 of 318: r-cran-matrix:amd64=1.6-1-1 Downloading dependency 26 of 318: libhogweed6:amd64=3.9.1-2 Downloading dependency 27 of 318: libice6:amd64=2:1.0.10-1 Downloading dependency 28 of 318: libpango-1.0-0:amd64=1.51.0+ds-2 Downloading dependency 29 of 318: liblapack-dev:amd64=3.11.0-2 Downloading dependency 30 of 318: r-base-dev:amd64=4.3.1-4 Downloading dependency 31 of 318: file:amd64=1:5.44-3 Downloading dependency 32 of 318: libreadline-dev:amd64=8.2-1.3 Downloading dependency 33 of 318: libmpfr6:amd64=4.2.0-1 Downloading dependency 34 of 318: login:amd64=1:4.13+dfsg1-1+b1 Downloading dependency 35 of 318: libc6-dev:amd64=2.37-7 Downloading dependency 36 of 318: util-linux:amd64=2.39.2-1 Downloading dependency 37 of 318: libclass-load-perl:amd64=0.25-2 Downloading dependency 38 of 318: liblz4-1:amd64=1.9.4-1 Downloading dependency 39 of 318: libtasn1-6:amd64=4.19.0-3 Downloading dependency 40 of 318: libxext6:amd64=2:1.3.4-1+b1 Downloading dependency 41 of 318: libfreetype6:amd64=2.13.1+dfsg-1 Downloading dependency 42 of 318: libsframe1:amd64=2.41-4 Downloading dependency 43 of 318: libhttp-date-perl:amd64=6.05-2 Downloading dependency 44 of 318: readline-common:amd64=8.2-1.3 Downloading dependency 45 of 318: libfile-find-rule-perl:amd64=0.34-3 Downloading dependency 46 of 318: libpackage-stash-xs-perl:amd64=0.30-1+b1 Downloading dependency 47 of 318: libncurses6:amd64=6.4+20230625-2 Downloading dependency 48 of 318: patch:amd64=2.7.6-7 Downloading dependency 49 of 318: libbinutils:amd64=2.41-4 Downloading dependency 50 of 318: libtk8.6:amd64=8.6.13-2 Downloading dependency 51 of 318: libk5crypto3:amd64=1.20.1-3 Downloading dependency 52 of 318: binutils-x86-64-linux-gnu:amd64=2.41-4 Downloading dependency 53 of 318: libxss1:amd64=1:1.2.3-1 Downloading dependency 54 of 318: base-files:amd64=13 Downloading dependency 55 of 318: r-cran-shape:amd64=1.4.6-1 Downloading dependency 56 of 318: gcc-13-base:amd64=13.2.0-2 Downloading dependency 57 of 318: libfontconfig1:amd64=2.14.2-4 Downloading dependency 58 of 318: libtirpc3:amd64=1.3.3+ds-1 Downloading dependency 59 of 318: liblapack3:amd64=3.11.0-2 Downloading dependency 60 of 318: debhelper:amd64=13.11.5 Downloading dependency 61 of 318: libsub-name-perl:amd64=0.27-1 Downloading dependency 62 of 318: automake:amd64=1:1.16.5-1.3 Downloading dependency 63 of 318: 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Downloading dependency 80 of 318: libclass-c3-perl:amd64=0.35-2 Downloading dependency 81 of 318: libquadmath0:amd64=13.2.0-2 Downloading dependency 82 of 318: sensible-utils:amd64=0.0.20 Downloading dependency 83 of 318: libkrb5-3:amd64=1.20.1-3 Downloading dependency 84 of 318: binutils:amd64=2.41-4 Downloading dependency 85 of 318: r-cran-rcppeigen:amd64=0.3.3.9.3-1 Downloading dependency 86 of 318: tar:amd64=1.34+dfsg-1.2 Downloading dependency 87 of 318: libseccomp2:amd64=2.5.4-1+b3 Downloading dependency 88 of 318: r-cran-lattice:amd64=0.21-8-2 Downloading dependency 89 of 318: libgcc-s1:amd64=13.2.0-2 Downloading dependency 90 of 318: libdata-optlist-perl:amd64=0.114-1 Downloading dependency 91 of 318: libsub-exporter-progressive-perl:amd64=0.001013-3 Downloading dependency 92 of 318: coreutils:amd64=9.1-1 Downloading dependency 93 of 318: libdevel-callchecker-perl:amd64=0.008-2 Downloading dependency 94 of 318: usrmerge:amd64=35 Downloading dependency 95 of 318: liblwp-mediatypes-perl:amd64=6.04-2 Downloading dependency 96 of 318: libxft2:amd64=2.3.6-1 Downloading dependency 97 of 318: libgssapi-krb5-2:amd64=1.20.1-3 Downloading dependency 98 of 318: libuchardet0:amd64=0.0.7-1 Downloading dependency 99 of 318: gfortran-13:amd64=13.2.0-2 Downloading dependency 100 of 318: libdpkg-perl:amd64=1.21.22 Downloading dependency 101 of 318: dpkg-dev:amd64=1.21.22 Downloading dependency 102 of 318: libbsd0:amd64=0.11.7-4 Downloading dependency 103 of 318: libthai0:amd64=0.1.29-1 Downloading dependency 104 of 318: x11-common:amd64=1:7.7+23 Downloading dependency 105 of 318: perl-modules-5.36:amd64=5.36.0-8 Downloading dependency 106 of 318: libmd0:amd64=1.1.0-1 Downloading dependency 107 of 318: libgdbm-compat4:amd64=1.23-3 Downloading dependency 108 of 318: libjpeg-dev:amd64=1:2.1.5-2 Downloading dependency 109 of 318: libdevel-stacktrace-perl:amd64=2.0400-2 Downloading dependency 110 of 318: dh-r:amd64=20230722 Downloading dependency 111 of 318: libsmartcols1:amd64=2.39.2-1 Downloading dependency 112 of 318: zip:amd64=3.0-13 Downloading dependency 113 of 318: binutils-common:amd64=2.41-4 Downloading dependency 114 of 318: libpsl5:amd64=0.21.2-1 Downloading dependency 115 of 318: libpkgconf3:amd64=1.8.1-1 Downloading dependency 116 of 318: gzip:amd64=1.12-1 Downloading dependency 117 of 318: libmoose-perl:amd64=2.2206-1 Downloading dependency 118 of 318: libsystemd0:amd64=254.1-2 Downloading dependency 119 of 318: libtool:amd64=2.4.7-7 Downloading dependency 120 of 318: libparams-util-perl:amd64=1.102-2+b1 Downloading dependency 121 of 318: libnsl2:amd64=1.3.0-2 Downloading dependency 122 of 318: zlib1g-dev:amd64=1:1.2.13.dfsg-3 Downloading dependency 123 of 318: libio-html-perl:amd64=1.004-3 Downloading dependency 124 of 318: libcrypt-dev:amd64=1:4.4.36-2 Downloading dependency 125 of 318: libpangoft2-1.0-0:amd64=1.51.0+ds-2 Downloading dependency 126 of 318: groff-base:amd64=1.23.0-2 Downloading dependency 127 of 318: libdb5.3:amd64=5.3.28+dfsg2-2 Downloading dependency 128 of 318: icu-devtools:amd64=72.1-3 Downloading dependency 129 of 318: libjansson4:amd64=2.14-2 Downloading dependency 130 of 318: libpng-dev:amd64=1.6.40-1 Downloading dependency 131 of 318: libicu-dev:amd64=72.1-3 Downloading dependency 132 of 318: liblzma-dev:amd64=5.4.1-0.2Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 liblzma-dev amd64 5.4.1-0.2 [260 kB] Fetched 260 kB in 0s (23.3 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpsj5btm7d/liblzma-dev_5.4.1-0.2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 bzip2 amd64 1.0.8-5+b1 [49.8 kB] Fetched 49.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpr0i5g1s9/bzip2_1.0.8-5+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 liblsan0 amd64 13.2.0-2 [1102 kB] Fetched 1102 kB in 0s (63.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmps8bh7kfx/liblsan0_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmagic-mgc amd64 1:5.44-3 [305 kB] Fetched 305 kB in 0s (26.1 MB/s) dpkg-name: info: moved 'libmagic-mgc_1%3a5.44-3_amd64.deb' to '/srv/rebuilderd/tmp/tmptk1qeq0u/libmagic-mgc_5.44-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 pkgconf-bin amd64 1.8.1-1 [29.5 kB] Fetched 29.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp9y5gq0r5/pkgconf-bin_1.8.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libswitch-perl all 2.17-3 [20.3 kB] Fetched 20.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp75moce1j/libswitch-perl_2.17-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpcre2-dev amd64 10.42-3 [754 kB] Fetched 754 kB in 0s (13.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpt2_08rw9/libpcre2-dev_10.42-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libitm1 amd64 13.2.0-2 [26.1 kB] Fetched 26.1 kB in 0s (2597 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmph097j2mk/libitm1_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 base-passwd amd64 3.6.1 [60.0 kB] Fetched 60.0 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp03pp_a1w/base-passwd_3.6.1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 xdg-utils all 1.1.3-4.1 [75.5 kB] Fetched 75.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpq3zuqo42/xdg-utils_1.1.3-4.1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdeflate0 amd64 1.18-1 [40.9 kB] Fetched 40.9 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp_efzl4_0/libdeflate0_1.18-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 pkgconf amd64 1.8.1-1 [25.9 kB] Fetched 25.9 kB in 0s (2579 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp47s_slsv/pkgconf_1.8.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 build-essential amd64 12.10 [4516 B] Fetched 4516 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp72ngjefi/build-essential_12.10_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libglib2.0-0 amd64 2.77.2-1 [1443 kB] Fetched 1443 kB in 0s (76.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpiext7wnc/libglib2.0-0_2.77.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libssl3 amd64 3.0.10-1 [2014 kB] Fetched 2014 kB in 0s (93.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpnty8ka_f/libssl3_3.0.10-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libclass-load-xs-perl amd64 0.10-2+b1 [14.0 kB] Fetched 14.0 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmps38rx1l4/libclass-load-xs-perl_0.10-2+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libb-hooks-endofscope-perl all 0.26-1 [19.6 kB] Fetched 19.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpbz5uvq9b/libb-hooks-endofscope-perl_0.26-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 perl-base amd64 5.36.0-8 [1600 kB] Fetched 1600 kB in 0s (80.1 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp0d8j8nfu/perl-base_5.36.0-8_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdynaloader-functions-perl all 0.003-3 [12.7 kB] Fetched 12.7 kB in 0s (1249 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp9exbv65w/libdynaloader-functions-perl_0.003-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 gcc amd64 4:13.2.0-1 [5224 B] Fetched 5224 B in 0s (0 B/s) dpkg-name: info: moved 'gcc_4%3a13.2.0-1_amd64.deb' to '/srv/rebuilderd/tmp/tmp7vqe4l7x/gcc_13.2.0-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxrender1 amd64 1:0.9.10-1.1 [33.2 kB] Fetched 33.2 kB in 0s (0 B/s) dpkg-name: info: moved 'libxrender1_1%3a0.9.10-1.1_amd64.deb' to '/srv/rebuilderd/tmp/tmpeatoxide/libxrender1_0.9.10-1.1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpng16-16 amd64 1.6.40-1 [275 kB] Fetched 275 kB in 0s (24.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpvwjodfmi/libpng16-16_1.6.40-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libx11-data all 2:1.8.6-1 [323 kB] Fetched 323 kB in 0s (29.2 MB/s) dpkg-name: info: moved 'libx11-data_2%3a1.8.6-1_all.deb' to '/srv/rebuilderd/tmp/tmpu0wlns5s/libx11-data_1.8.6-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libnumber-compare-perl all 0.03-3 [6332 B] Fetched 6332 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpptq_2nn7/libnumber-compare-perl_0.03-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libaudit1 amd64 1:3.1.1-1 [47.3 kB] Fetched 47.3 kB in 0s (0 B/s) dpkg-name: info: moved 'libaudit1_1%3a3.1.1-1_amd64.deb' to '/srv/rebuilderd/tmp/tmpryyxgj7v/libaudit1_3.1.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgcrypt20 amd64 1.10.2-2 [704 kB] Fetched 704 kB in 0s (55.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpr5_76prh/libgcrypt20_1.10.2-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpipeline1 amd64 1.5.7-1 [38.5 kB] Fetched 38.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpczo6q7sz/libpipeline1_1.5.7-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libfribidi0 amd64 1.0.13-3 [71.1 kB] Fetched 71.1 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpgvzazim8/libfribidi0_1.0.13-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libparams-classify-perl amd64 0.015-2+b1 [23.1 kB] Fetched 23.1 kB in 0s (1932 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpb5ck5x5b/libparams-classify-perl_0.015-2+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdatrie1 amd64 0.2.13-2+b1 [43.3 kB] Fetched 43.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpj9fufy8m/libdatrie1_0.2.13-2+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libasan8 amd64 13.2.0-2 [2559 kB] Fetched 2559 kB in 0s (102 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp8huk43jd/libasan8_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 po-debconf all 1.0.21+nmu1 [248 kB] Fetched 248 kB in 0s (20.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmphf2fd7n1/po-debconf_1.0.21+nmu1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpam0g amd64 1.5.2-7 [66.7 kB] Fetched 66.7 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp42oqp_gl/libpam0g_1.5.2-7_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmro-compat-perl all 0.15-2 [11.8 kB] Fetched 11.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp7j83xsf1/libmro-compat-perl_0.15-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-pkgkitten all 0.2.3-1 [26.7 kB] Fetched 26.7 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpqj7irhqc/r-cran-pkgkitten_0.2.3-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmodule-runtime-perl all 0.016-2 [19.6 kB] Fetched 19.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpw9w0q5fm/libmodule-runtime-perl_0.016-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdebhelper-perl all 13.11.5 [81.8 kB] Fetched 81.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp2bxf4dj1/libdebhelper-perl_13.11.5_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 man-db amd64 2.11.2-3 [1386 kB] Fetched 1386 kB in 0s (79.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpf3cg9cc4/man-db_2.11.2-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libnamespace-clean-perl all 0.27-2 [17.8 kB] Fetched 17.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpaq6k639f/libnamespace-clean-perl_0.27-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libwww-curl-simple-perl all 0.100191-3 [12.6 kB] Fetched 12.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmprgvp35n5/libwww-curl-simple-perl_0.100191-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libc6 amd64 2.37-7 [2754 kB] Fetched 2754 kB in 0s (101 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp5nr6bd_5/libc6_2.37-7_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libthai-data all 0.1.29-1 [176 kB] Fetched 176 kB in 0s (16.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmptthajop7/libthai-data_0.1.29-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpcre2-8-0 amd64 10.42-3 [261 kB] Fetched 261 kB in 0s (24.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp54ic_99w/libpcre2-8-0_10.42-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libncurses-dev amd64 6.4+20230625-2 [347 kB] Fetched 347 kB in 0s (30.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpz2id5nup/libncurses-dev_6.4+20230625-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgprofng0 amd64 2.41-4 [766 kB] Fetched 766 kB in 0s (56.7 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp24dvfo1j/libgprofng0_2.41-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 cpp-13 amd64 13.2.0-2 [9903 kB] Fetched 9903 kB in 0s (94.1 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmplc0m0r_d/cpp-13_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libcurl3-gnutls amd64 8.2.1-1 [382 kB] Fetched 382 kB in 0s (9225 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpmg6yf811/libcurl3-gnutls_8.2.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpcre2-posix3 amd64 10.42-3 [55.5 kB] Fetched 55.5 kB in 0s (3166 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp1qgk4wsw/libpcre2-posix3_10.42-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libidn2-0 amd64 2.3.4-1 [143 kB] Fetched 143 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpvwd975gr/libidn2-0_2.3.4-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libldap-2.5-0 amd64 2.5.13+dfsg-5 [183 kB] Fetched 183 kB in 0s (18.3 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpygixxv1p/libldap-2.5-0_2.5.13+dfsg-5_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsm6 amd64 2:1.2.3-1 [35.1 kB] Fetched 35.1 kB in 0s (0 B/s) dpkg-name: info: moved 'libsm6_2%3a1.2.3-1_amd64.deb' to '/srv/rebuilderd/tmp/tmpjfvz8nen/libsm6_1.2.3-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libwebp7 amd64 1.2.4-0.2 [285 kB] Fetched 285 kB in 0s (26.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp33fr_qyf/libwebp7_1.2.4-0.2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 tzdata all 2023c-10 [252 kB] Fetched 252 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpmlq7x4_0/tzdata_2023c-10_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libblas3 amd64 3.11.0-2 [149 kB] Fetched 149 kB in 0s (14.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp7w_ebtxx/libblas3_3.11.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpaper-utils amd64 1.1.29 [8868 B] Fetched 8868 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp3mra5hss/libpaper-utils_1.1.29_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libctf-nobfd0 amd64 2.41-4 [151 kB] Fetched 151 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpgbhaxiz0/libctf-nobfd0_2.41-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 debconf all 1.5.82 [121 kB] Fetched 121 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpnxtpemy1/debconf_1.5.82_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libcom-err2 amd64 1.47.0-2 [19.8 kB] Fetched 19.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp62re71vu/libcom-err2_1.47.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 linux-libc-dev amd64 6.4.11-1 [1821 kB] Fetched 1821 kB in 0s (89.3 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpha1tawps/linux-libc-dev_6.4.11-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libcc1-0 amd64 13.2.0-2 [43.0 kB] Fetched 43.0 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpi5k2c6fb/libcc1-0_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgfortran-13-dev amd64 13.2.0-2 [846 kB] Fetched 846 kB in 0s (31.2 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpdclaivww/libgfortran-13-dev_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsasl2-modules-db amd64 2.1.28+dfsg1-3 [19.3 kB] Fetched 19.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmppv312z_d/libsasl2-modules-db_2.1.28+dfsg1-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 intltool-debian all 0.35.0+20060710.6 [22.9 kB] Fetched 22.9 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpxgp44rb1/intltool-debian_0.35.0+20060710.6_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxcb1 amd64 1.15-1 [144 kB] Fetched 144 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp_vwl7if8/libxcb1_1.15-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 grep amd64 3.11-3 [431 kB] Fetched 431 kB in 0s (39.2 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpvqd39841/grep_3.11-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 mawk amd64 1.3.4.20230808-1 [135 kB] Fetched 135 kB in 0s (13.3 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp9b4bec9z/mawk_1.3.4.20230808-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libnsl-dev amd64 1.3.0-2 [66.4 kB] Fetched 66.4 kB in 0s (6526 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp0wv9ulwl/libnsl-dev_1.3.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libarchive-zip-perl all 1.68-1 [104 kB] Fetched 104 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpr7qfc17k/libarchive-zip-perl_1.68-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libblas-dev amd64 3.11.0-2 [158 kB] Fetched 158 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpbr2oj2yz/libblas-dev_3.11.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libelf1 amd64 0.189-4 [174 kB] Fetched 174 kB in 0s (17.3 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpcu_btrn8/libelf1_0.189-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libffi8 amd64 3.4.4-1 [22.9 kB] Fetched 22.9 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpe2gs5460/libffi8_3.4.4-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 usr-is-merged all 35 [4832 B] Fetched 4832 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpyhsiht30/usr-is-merged_35_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxcb-render0 amd64 1.15-1 [115 kB] Fetched 115 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpxnqk_p52/libxcb-render0_1.15-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 autoconf all 2.71-3 [332 kB] Fetched 332 kB in 0s (30.3 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpb48w7ui0/autoconf_2.71-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libselinux1 amd64 3.5-1 [73.9 kB] Fetched 73.9 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpjyy36exy/libselinux1_3.5-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtiff6 amd64 4.5.1+git230720-1 [322 kB] Fetched 322 kB in 0s (29.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpxie0bx_g/libtiff6_4.5.1+git230720-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libc-dev-bin amd64 2.37-7 [45.7 kB] Fetched 45.7 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpf_qxa4pr/libc-dev-bin_2.37-7_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libunistring2 amd64 1.0-2 [437 kB] Fetched 437 kB in 0s (36.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp750q5tf5/libunistring2_1.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libcap2 amd64 1:2.66-4 [27.0 kB] Fetched 27.0 kB in 0s (0 B/s) dpkg-name: info: moved 'libcap2_1%3a2.66-4_amd64.deb' to '/srv/rebuilderd/tmp/tmp2rtkf8go/libcap2_2.66-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libssh2-1 amd64 1.11.0-2 [214 kB] Fetched 214 kB in 0s (20.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp7ztnz4gy/libssh2-1_1.11.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgpg-error0 amd64 1.47-2 [77.6 kB] Fetched 77.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmprzc3vdl3/libgpg-error0_1.47-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 rpcsvc-proto amd64 1.4.3-1 [63.3 kB] Fetched 63.3 kB in 0s (5856 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp7d09_zqi/rpcsvc-proto_1.4.3-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libnghttp2-14 amd64 1.55.1-1 [72.8 kB] Fetched 72.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp8yvznxw7/libnghttp2-14_1.55.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 openssl amd64 3.0.10-1 [1415 kB] Fetched 1415 kB in 0s (76.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpcnow4scf/openssl_3.0.10-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpam-runtime all 1.5.2-7 [136 kB] Fetched 136 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpkc9mqaxb/libpam-runtime_1.5.2-7_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmodule-implementation-perl all 0.09-2 [12.6 kB] Fetched 12.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpuv6mb4ki/libmodule-implementation-perl_0.09-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 pkg-config amd64 1.8.1-1 [13.7 kB] Fetched 13.7 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp8n7kw40a/pkg-config_1.8.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgfortran5 amd64 13.2.0-2 [804 kB] Fetched 804 kB in 0s (24.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpbujkx339/libgfortran5_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgnutls30 amd64 3.8.1-4 [1416 kB] Fetched 1416 kB in 0s (76.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpylcdenqv/libgnutls30_3.8.1-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libctf0 amd64 2.41-4 [87.0 kB] Fetched 87.0 kB in 0s (8415 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpbvzczfu5/libctf0_2.41-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libharfbuzz0b amd64 8.0.1-1 [2158 kB] Fetched 2158 kB in 0s (92.1 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmprwvr07gt/libharfbuzz0b_8.0.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libcurl4 amd64 8.2.1-1 [388 kB] Fetched 388 kB in 0s (11.3 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmph7v1ak52/libcurl4_8.2.1-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libhttp-message-perl all 6.44-2 [81.8 kB] Fetched 81.8 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpjni80jpq/libhttp-message-perl_6.44-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxau6 amd64 1:1.0.9-1 [19.7 kB] Fetched 19.7 kB in 0s (0 B/s) dpkg-name: info: moved 'libxau6_1%3a1.0.9-1_amd64.deb' to '/srv/rebuilderd/tmp/tmpgf6zmjrd/libxau6_1.0.9-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 make amd64 4.3-4.1 [396 kB] Fetched 396 kB in 0s (35.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp9ypbcnf9/make_4.3-4.1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmount1 amd64 2.39.2-1 [189 kB] Fetched 189 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp87otle29/libmount1_2.39.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-littler amd64 0.3.18-2 [98.1 kB] Fetched 98.1 kB in 0s (4547 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp5mexeipj/r-cran-littler_0.3.18-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-base-core amd64 4.3.1-4 [26.7 MB] Fetched 26.7 MB in 0s (139 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp6pnt82s1/r-base-core_4.3.1-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsasl2-2 amd64 2.1.28+dfsg1-3 [56.6 kB] Fetched 56.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpll7lfx6f/libsasl2-2_2.1.28+dfsg1-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtirpc-dev amd64 1.3.3+ds-1 [191 kB] Fetched 191 kB in 0s (17.3 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpji2i70bd/libtirpc-dev_1.3.3+ds-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 fonts-noto-core all 20201225-2 [12.2 MB] Fetched 12.2 MB in 0s (50.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpbpe9m07x/fonts-noto-core_20201225-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmagic1 amd64 1:5.44-3 [104 kB] Fetched 104 kB in 0s (0 B/s) dpkg-name: info: moved 'libmagic1_1%3a5.44-3_amd64.deb' to '/srv/rebuilderd/tmp/tmp7seb_fg0/libmagic1_5.44-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libkrb5support0 amd64 1.20.1-3 [32.3 kB] Fetched 32.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpc98ka9bo/libkrb5support0_1.20.1-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxdmcp6 amd64 1:1.1.2-3 [26.3 kB] Fetched 26.3 kB in 0s (0 B/s) dpkg-name: info: moved 'libxdmcp6_1%3a1.1.2-3_amd64.deb' to '/srv/rebuilderd/tmp/tmpx9ekcnw0/libxdmcp6_1.1.2-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpcre2-16-0 amd64 10.42-3 [245 kB] Fetched 245 kB in 0s (8946 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpdt79f34t/libpcre2-16-0_10.42-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-survival amd64 3.5-7-1 [6134 kB] Fetched 6134 kB in 0s (77.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpnmas8v6c/r-cran-survival_3.5-7-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 findutils amd64 4.9.0-5 [636 kB] Fetched 636 kB in 0s (45.2 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpq1kj2fq9/findutils_4.9.0-5_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 bash amd64 5.2.15-2+b4 [1490 kB] Fetched 1490 kB in 0s (79.2 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpza6uvfnn/bash_5.2.15-2+b4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libeval-closure-perl all 0.14-3 [11.2 kB] Fetched 11.2 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpldrck0b1/libeval-closure-perl_0.14-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxml2 amd64 2.9.14+dfsg-1.3 [686 kB] Fetched 686 kB in 0s (48.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpkczou8oi/libxml2_2.9.14+dfsg-1.3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libattr1 amd64 1:2.5.1-4 [22.2 kB] Fetched 22.2 kB in 0s (0 B/s) dpkg-name: info: moved 'libattr1_1%3a2.5.1-4_amd64.deb' to '/srv/rebuilderd/tmp/tmp_4k8gsxe/libattr1_2.5.1-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 dwz amd64 0.15-1 [109 kB] Fetched 109 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp7ajbvuth/dwz_0.15-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 xauth amd64 1:1.1.2-1 [36.0 kB] Fetched 36.0 kB in 0s (0 B/s) dpkg-name: info: moved 'xauth_1%3a1.1.2-1_amd64.deb' to '/srv/rebuilderd/tmp/tmphnqydij7/xauth_1.1.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libxcb-shm0 amd64 1.15-1 [105 kB] Fetched 105 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpkvwwgokz/libxcb-shm0_1.15-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 liblerc4 amd64 4.0.0+ds-2 [170 kB] Fetched 170 kB in 0s (16.1 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpbek4s25z/liblerc4_4.0.0+ds-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libudev1 amd64 254.1-2 [119 kB] Fetched 119 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmppiuox5iv/libudev1_254.1-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libcap-ng0 amd64 0.8.3-1+b3 [17.1 kB] Fetched 17.1 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp39rscp62/libcap-ng0_0.8.3-1+b3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsub-identify-perl amd64 0.14-3 [10.9 kB] Fetched 10.9 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpcp1dk19k/libsub-identify-perl_0.14-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 ncurses-base all 6.4+20230625-2 [265 kB] Fetched 265 kB in 0s (26.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpng6mdt0n/ncurses-base_6.4+20230625-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libcrypt1 amd64 1:4.4.36-2 [89.7 kB] Fetched 89.7 kB in 0s (7409 kB/s) dpkg-name: info: moved 'libcrypt1_1%3a4.4.36-2_amd64.deb' to '/srv/rebuilderd/tmp/tmpcamwl9fh/libcrypt1_4.4.36-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 gettext-base amd64 0.21-13 [160 kB] Fetched 160 kB in 0s (14.3 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpseg0gsp5/gettext-base_0.21-13_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 ucf all 3.0043+nmu1 [55.2 kB] Fetched 55.2 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpjr1f8a34/ucf_3.0043+nmu1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 sysvinit-utils amd64 3.07-1 [31.3 kB] Fetched 31.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpwoilryha/sysvinit-utils_3.07-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libfile-which-perl all 1.27-2 [15.1 kB] Fetched 15.1 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpb17kthc_/libfile-which-perl_1.27-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtcl8.6 amd64 8.6.13+dfsg-2 [1035 kB] Fetched 1035 kB in 0s (70.2 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpll4a44nb/libtcl8.6_8.6.13+dfsg-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 autopoint all 0.21-13 [496 kB] Fetched 496 kB in 0s (37.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpv9lw50or/autopoint_0.21-13_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libreadline8 amd64 8.2-1.3 [166 kB] Fetched 166 kB in 0s (14.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp69vnn48e/libreadline8_8.2-1.3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 xz-utils amd64 5.4.1-0.2 [471 kB] Fetched 471 kB in 0s (41.1 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpdy5bahap/xz-utils_5.4.1-0.2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libperl5.36 amd64 5.36.0-8 [4199 kB] Fetched 4199 kB in 0s (124 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpvovmvcs8/libperl5.36_5.36.0-8_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libblkid1 amd64 2.39.2-1 [158 kB] Fetched 158 kB in 0s (15.8 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpc2o6j2ye/libblkid1_2.39.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 dctrl-tools amd64 2.24-3+b1 [104 kB] Fetched 104 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpcv80rqtw/dctrl-tools_2.24-3+b1_amd64.deb' Downloading dependency 133 of 318: bzip2:amd64=1.0.8-5+b1 Downloading dependency 134 of 318: liblsan0:amd64=13.2.0-2 Downloading dependency 135 of 318: libmagic-mgc:amd64=1:5.44-3 Downloading dependency 136 of 318: pkgconf-bin:amd64=1.8.1-1 Downloading dependency 137 of 318: libswitch-perl:amd64=2.17-3 Downloading dependency 138 of 318: libpcre2-dev:amd64=10.42-3 Downloading dependency 139 of 318: libitm1:amd64=13.2.0-2 Downloading dependency 140 of 318: base-passwd:amd64=3.6.1 Downloading dependency 141 of 318: xdg-utils:amd64=1.1.3-4.1 Downloading dependency 142 of 318: libdeflate0:amd64=1.18-1 Downloading dependency 143 of 318: pkgconf:amd64=1.8.1-1 Downloading dependency 144 of 318: build-essential:amd64=12.10 Downloading dependency 145 of 318: libglib2.0-0:amd64=2.77.2-1 Downloading dependency 146 of 318: libssl3:amd64=3.0.10-1 Downloading dependency 147 of 318: libclass-load-xs-perl:amd64=0.10-2+b1 Downloading dependency 148 of 318: libb-hooks-endofscope-perl:amd64=0.26-1 Downloading dependency 149 of 318: perl-base:amd64=5.36.0-8 Downloading dependency 150 of 318: libdynaloader-functions-perl:amd64=0.003-3 Downloading dependency 151 of 318: gcc:amd64=4:13.2.0-1 Downloading dependency 152 of 318: libxrender1:amd64=1:0.9.10-1.1 Downloading dependency 153 of 318: libpng16-16:amd64=1.6.40-1 Downloading dependency 154 of 318: libx11-data:amd64=2:1.8.6-1 Downloading dependency 155 of 318: libnumber-compare-perl:amd64=0.03-3 Downloading dependency 156 of 318: libaudit1:amd64=1:3.1.1-1 Downloading dependency 157 of 318: libgcrypt20:amd64=1.10.2-2 Downloading dependency 158 of 318: libpipeline1:amd64=1.5.7-1 Downloading dependency 159 of 318: libfribidi0:amd64=1.0.13-3 Downloading dependency 160 of 318: libparams-classify-perl:amd64=0.015-2+b1 Downloading dependency 161 of 318: libdatrie1:amd64=0.2.13-2+b1 Downloading dependency 162 of 318: libasan8:amd64=13.2.0-2 Downloading dependency 163 of 318: po-debconf:amd64=1.0.21+nmu1 Downloading dependency 164 of 318: libpam0g:amd64=1.5.2-7 Downloading dependency 165 of 318: libmro-compat-perl:amd64=0.15-2 Downloading dependency 166 of 318: r-cran-pkgkitten:amd64=0.2.3-1 Downloading dependency 167 of 318: libmodule-runtime-perl:amd64=0.016-2 Downloading dependency 168 of 318: libdebhelper-perl:amd64=13.11.5 Downloading dependency 169 of 318: man-db:amd64=2.11.2-3 Downloading dependency 170 of 318: libnamespace-clean-perl:amd64=0.27-2 Downloading dependency 171 of 318: libwww-curl-simple-perl:amd64=0.100191-3 Downloading dependency 172 of 318: libc6:amd64=2.37-7 Downloading dependency 173 of 318: libthai-data:amd64=0.1.29-1 Downloading dependency 174 of 318: libpcre2-8-0:amd64=10.42-3 Downloading dependency 175 of 318: libncurses-dev:amd64=6.4+20230625-2 Downloading dependency 176 of 318: libgprofng0:amd64=2.41-4 Downloading dependency 177 of 318: cpp-13:amd64=13.2.0-2 Downloading dependency 178 of 318: libcurl3-gnutls:amd64=8.2.1-1 Downloading dependency 179 of 318: libpcre2-posix3:amd64=10.42-3 Downloading dependency 180 of 318: libidn2-0:amd64=2.3.4-1 Downloading dependency 181 of 318: libldap-2.5-0:amd64=2.5.13+dfsg-5 Downloading dependency 182 of 318: libsm6:amd64=2:1.2.3-1 Downloading dependency 183 of 318: libwebp7:amd64=1.2.4-0.2 Downloading dependency 184 of 318: tzdata:amd64=2023c-10 Downloading dependency 185 of 318: libblas3:amd64=3.11.0-2 Downloading dependency 186 of 318: libpaper-utils:amd64=1.1.29 Downloading dependency 187 of 318: libctf-nobfd0:amd64=2.41-4 Downloading dependency 188 of 318: debconf:amd64=1.5.82 Downloading dependency 189 of 318: libcom-err2:amd64=1.47.0-2 Downloading dependency 190 of 318: linux-libc-dev:amd64=6.4.11-1 Downloading dependency 191 of 318: libcc1-0:amd64=13.2.0-2 Downloading dependency 192 of 318: libgfortran-13-dev:amd64=13.2.0-2 Downloading dependency 193 of 318: libsasl2-modules-db:amd64=2.1.28+dfsg1-3 Downloading dependency 194 of 318: 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Downloading dependency 227 of 318: libmount1:amd64=2.39.2-1 Downloading dependency 228 of 318: r-cran-littler:amd64=0.3.18-2 Downloading dependency 229 of 318: r-base-core:amd64=4.3.1-4 Downloading dependency 230 of 318: libsasl2-2:amd64=2.1.28+dfsg1-3 Downloading dependency 231 of 318: libtirpc-dev:amd64=1.3.3+ds-1 Downloading dependency 232 of 318: fonts-noto-core:amd64=20201225-2 Downloading dependency 233 of 318: libmagic1:amd64=1:5.44-3 Downloading dependency 234 of 318: libkrb5support0:amd64=1.20.1-3 Downloading dependency 235 of 318: libxdmcp6:amd64=1:1.1.2-3 Downloading dependency 236 of 318: libpcre2-16-0:amd64=10.42-3 Downloading dependency 237 of 318: r-cran-survival:amd64=3.5-7-1 Downloading dependency 238 of 318: findutils:amd64=4.9.0-5 Downloading dependency 239 of 318: bash:amd64=5.2.15-2+b4 Downloading dependency 240 of 318: libeval-closure-perl:amd64=0.14-3 Downloading dependency 241 of 318: libxml2:amd64=2.9.14+dfsg-1.3 Downloading dependency 242 of 318: libattr1:amd64=1:2.5.1-4 Downloading dependency 243 of 318: dwz:amd64=0.15-1 Downloading dependency 244 of 318: xauth:amd64=1:1.1.2-1 Downloading dependency 245 of 318: libxcb-shm0:amd64=1.15-1 Downloading dependency 246 of 318: liblerc4:amd64=4.0.0+ds-2 Downloading dependency 247 of 318: libudev1:amd64=254.1-2 Downloading dependency 248 of 318: libcap-ng0:amd64=0.8.3-1+b3 Downloading dependency 249 of 318: libsub-identify-perl:amd64=0.14-3 Downloading dependency 250 of 318: ncurses-base:amd64=6.4+20230625-2 Downloading dependency 251 of 318: libcrypt1:amd64=1:4.4.36-2 Downloading dependency 252 of 318: gettext-base:amd64=0.21-13 Downloading dependency 253 of 318: ucf:amd64=3.0043+nmu1 Downloading dependency 254 of 318: sysvinit-utils:amd64=3.07-1 Downloading dependency 255 of 318: libfile-which-perl:amd64=1.27-2 Downloading dependency 256 of 318: libtcl8.6:amd64=8.6.13+dfsg-2 Downloading dependency 257 of 318: autopoint:amd64=0.21-13 Downloading dependency 258 of 318: libreadline8:amd64=8.2-1.3 Downloading dependency 259 of 318: xz-utils:amd64=5.4.1-0.2 Downloading dependency 260 of 318: libperl5.36:amd64=5.36.0-8 Downloading dependency 261 of 318: libblkid1:amd64=2.39.2-1 Downloading dependency 262 of 318: dctrl-tools:amd64=2.24-3+b1 Downloading dependency 263 of 318: fontconfig:amd64=2.14.2-4Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 fontconfig amd64 2.14.2-4 [462 kB] Fetched 462 kB in 0s (11.7 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpowq78qd_/fontconfig_2.14.2-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdist-checkconflicts-perl all 0.11-2 [10.5 kB] Fetched 10.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp3pgwu5vq/libdist-checkconflicts-perl_0.11-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libicu72 amd64 72.1-3 [9376 kB] Fetched 9376 kB in 0s (133 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpop4t0a7f/libicu72_72.1-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 unzip amd64 6.0-28 [166 kB] Fetched 166 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp22xv6063/unzip_6.0-28_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libb-hooks-op-check-perl amd64 0.22-2+b1 [10.5 kB] Fetched 10.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmphk8i54p3/libb-hooks-op-check-perl_0.22-2+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 gcc-13 amd64 13.2.0-2 [19.6 MB] Fetched 19.6 MB in 0s (139 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpy0nwa84i/gcc-13_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libc-bin amd64 2.37-7 [600 kB] Fetched 600 kB in 0s (44.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpt53vw45o/libc-bin_2.37-7_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libstdc++-13-dev amd64 13.2.0-2 [2221 kB] Fetched 2221 kB in 0s (102 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpb9y379su/libstdc++-13-dev_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 bsdextrautils amd64 2.39.2-1 [88.7 kB] Fetched 88.7 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpmhcgi993/bsdextrautils_2.39.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 r-cran-iterators all 1.0.14-1 [337 kB] Fetched 337 kB in 0s (10.1 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpt9wf28b3/r-cran-iterators_1.0.14-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdebconfclient0 amd64 0.270 [9900 B] Fetched 9900 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpvb19kq2y/libdebconfclient0_0.270_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 dpkg amd64 1.21.22 [1567 kB] Fetched 1567 kB in 0s (79.5 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpvra9fx27/dpkg_1.21.22_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libhwasan0 amd64 13.2.0-2 [1154 kB] Fetched 1154 kB in 0s (57.9 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpnk9j5qz1/libhwasan0_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libnettle8 amd64 3.9.1-2 [295 kB] Fetched 295 kB in 0s (28.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp537dbx6f/libnettle8_3.9.1-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libencode-locale-perl all 1.05-3 [12.9 kB] Fetched 12.9 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpqysw503l/libencode-locale-perl_1.05-3_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtimedate-perl all 2.3300-2 [39.3 kB] Fetched 39.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpadzhgbzi/libtimedate-perl_2.3300-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libubsan1 amd64 13.2.0-2 [1010 kB] Fetched 1010 kB in 0s (61.6 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpugon61um/libubsan1_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libmodule-runtime-conflicts-perl all 0.003-2 [7356 B] Fetched 7356 B in 0s (682 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp0wodr0tr/libmodule-runtime-conflicts-perl_0.003-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpangocairo-1.0-0 amd64 1.51.0+ds-2 [34.1 kB] Fetched 34.1 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpx513paur/libpangocairo-1.0-0_1.51.0+ds-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 hostname amd64 3.23+nmu1 [10.5 kB] Fetched 10.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp1iq7y4cl/hostname_3.23+nmu1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libsub-install-perl all 0.929-1 [10.5 kB] Fetched 10.5 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmppob09sin/libsub-install-perl_0.929-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 autotools-dev all 20220109.1 [51.6 kB] Fetched 51.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpg_vssltl/autotools-dev_20220109.1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 fontconfig-config amd64 2.14.2-4 [315 kB] Fetched 315 kB in 0s (30.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpi5tpgs9x/fontconfig-config_2.14.2-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libfile-stripnondeterminism-perl all 1.13.1-1 [19.4 kB] Fetched 19.4 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmppr2v54kg/libfile-stripnondeterminism-perl_1.13.1-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpam-modules amd64 1.5.2-7 [265 kB] Fetched 265 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmptipidmji/libpam-modules_1.5.2-7_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtinfo6 amd64 6.4+20230625-2 [339 kB] Fetched 339 kB in 0s (32.7 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp1nv2qjyz/libtinfo6_6.4+20230625-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libalgorithm-c3-perl all 0.11-2 [10.8 kB] Fetched 10.8 kB in 0s (1063 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpyshy0_ei/libalgorithm-c3-perl_0.11-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 dash amd64 0.5.12-6 [92.1 kB] Fetched 92.1 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpo8qaql5q/dash_0.5.12-6_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 liburi-perl all 5.19-2 [91.0 kB] Fetched 91.0 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp4en7jdp8/liburi-perl_5.19-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libbz2-1.0 amd64 1.0.8-5+b1 [47.3 kB] Fetched 47.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpudz8qj71/libbz2-1.0_1.0.8-5+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 diffutils amd64 1:3.8-4 [352 kB] Fetched 352 kB in 0s (31.4 MB/s) dpkg-name: info: moved 'diffutils_1%3a3.8-4_amd64.deb' to '/srv/rebuilderd/tmp/tmpiv2mldmv/diffutils_3.8-4_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libwww-curl-perl amd64 4.17-10 [58.3 kB] Fetched 58.3 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmphe56bxtc/libwww-curl-perl_4.17-10_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libjbig0 amd64 2.1-6.1 [31.7 kB] Fetched 31.7 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp8on0uk6e/libjbig0_2.1-6.1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpackage-deprecationmanager-perl all 0.18-1 [17.6 kB] Fetched 17.6 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpelval6dd/libpackage-deprecationmanager-perl_0.18-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 ca-certificates all 20230311 [153 kB] Fetched 153 kB in 0s (13.1 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp88myqizj/ca-certificates_20230311_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libpcre2-32-0 amd64 10.42-3 [234 kB] Fetched 234 kB in 0s (6648 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpdjont5as/libpcre2-32-0_10.42-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 gfortran amd64 4:13.2.0-1 [1428 B] Fetched 1428 B in 0s (0 B/s) dpkg-name: info: moved 'gfortran_4%3a13.2.0-1_amd64.deb' to '/srv/rebuilderd/tmp/tmpexxi84nl/gfortran_13.2.0-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libuuid1 amd64 2.39.2-1 [29.2 kB] Fetched 29.2 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpfzpxree3/libuuid1_2.39.2-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libaudit-common all 1:3.1.1-1 [10.8 kB] Fetched 10.8 kB in 0s (0 B/s) dpkg-name: info: moved 'libaudit-common_1%3a3.1.1-1_all.deb' to '/srv/rebuilderd/tmp/tmpxtgscmvt/libaudit-common_3.1.1-1_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 gettext amd64 0.21-13 [1300 kB] Fetched 1300 kB in 0s (73.7 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpee3lirzb/gettext_0.21-13_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libtry-tiny-perl all 0.31-2 [22.6 kB] Fetched 22.6 kB in 0s (2094 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpa0k83ixa/libtry-tiny-perl_0.31-2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgdbm6 amd64 1.23-3 [72.2 kB] Fetched 72.2 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpbpesjbhd/libgdbm6_1.23-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libisl23 amd64 0.26-3 [700 kB] Fetched 700 kB in 0s (51.0 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmprszsju_t/libisl23_0.26-3_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libatomic1 amd64 13.2.0-2 [9288 B] Fetched 9288 B in 0s (808 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpzl_kkvq4/libatomic1_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libjpeg62-turbo amd64 1:2.1.5-2 [166 kB] Fetched 166 kB in 0s (2524 kB/s) dpkg-name: info: moved 'libjpeg62-turbo_1%3a2.1.5-2_amd64.deb' to '/srv/rebuilderd/tmp/tmp72qj0t7u/libjpeg62-turbo_2.1.5-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libkeyutils1 amd64 1.6.3-2 [8808 B] Fetched 8808 B in 0s (363 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpf5p7an5b/libkeyutils1_1.6.3-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 dh-autoreconf all 20 [17.1 kB] Fetched 17.1 kB in 0s (1395 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp1k9byz0b/dh-autoreconf_20_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libbrotli1 amd64 1.0.9-2+b6 [275 kB] Fetched 275 kB in 0s (5989 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpy0g4suki/libbrotli1_1.0.9-2+b6_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libgcc-13-dev amd64 13.2.0-2 [2539 kB] Fetched 2539 kB in 0s (91.1 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpynb_ytgg/libgcc-13-dev_13.2.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 sed amd64 4.9-1 [329 kB] Fetched 329 kB in 0s (28.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpw0lus1of/sed_4.9-1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 init-system-helpers all 1.65.2 [49.8 kB] Fetched 49.8 kB in 0s (4839 kB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpri6m557o/init-system-helpers_1.65.2_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libexpat1 amd64 2.5.0-2 [99.0 kB] Fetched 99.0 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpw0hn7ukv/libexpat1_2.5.0-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 ncurses-bin amd64 6.4+20230625-2 [426 kB] Fetched 426 kB in 0s (35.4 MB/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmp98u8xs8_/ncurses-bin_6.4+20230625-2_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libdevel-globaldestruction-perl all 0.14-4 [7144 B] Fetched 7144 B in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpbw7jm5hi/libdevel-globaldestruction-perl_0.14-4_all.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 libvariable-magic-perl amd64 0.63-1+b1 [44.0 kB] Fetched 44.0 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpyowfsvee/libvariable-magic-perl_0.63-1+b1_amd64.deb' Get:1 http://snapshot.debian.org/archive/debian/20230824T211842Z sid/main amd64 debianutils amd64 5.8-1 [103 kB] Fetched 103 kB in 0s (0 B/s) dpkg-name: warning: skipping '/srv/rebuilderd/tmp/tmpvz6o2s9m/debianutils_5.8-1_amd64.deb' dpkg-buildpackage: info: source package debootsnap-dummy dpkg-buildpackage: info: source version 1.0 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Equivs Dummy Package Generator dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 debian/rules clean dh clean dh_clean debian/rules binary dh binary dh_update_autotools_config dh_autoreconf create-stamp debian/debhelper-build-stamp dh_prep dh_auto_install --destdir=debian/debootsnap-dummy/ dh_install dh_installdocs dh_installchangelogs dh_perl dh_link dh_strip_nondeterminism dh_compress dh_fixperms dh_missing dh_installdeb dh_gencontrol dh_md5sums dh_builddeb dpkg-deb: building package 'debootsnap-dummy' in '../debootsnap-dummy_1.0_all.deb'. dpkg-genbuildinfo --build=binary -O../debootsnap-dummy_1.0_amd64.buildinfo dpkg-genchanges --build=binary -O../debootsnap-dummy_1.0_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) The package has been created. Attention, the package has been created in the /srv/rebuilderd/tmp/tmpy03o62u5/cache directory, not in ".." as indicated by the message above! I: automatically chosen mode: unshare I: chroot architecture amd64 is equal to the host's architecture I: using /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd as tempdir I: running --setup-hook directly: /usr/share/mmdebstrap/hooks/maybe-merged-usr/setup00.sh /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd 127.0.0.1 - - [20/Jun/2025 21:14:33] code 404, message File not found 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./InRelease HTTP/1.1" 404 - Ign:1 http://localhost:33187 ./ InRelease 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./Release HTTP/1.1" 200 - Get:2 http://localhost:33187 ./ Release [462 B] 127.0.0.1 - - [20/Jun/2025 21:14:33] code 404, message File not found 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./Release.gpg HTTP/1.1" 404 - Ign:3 http://localhost:33187 ./ Release.gpg 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./Packages HTTP/1.1" 200 - Get:4 http://localhost:33187 ./ Packages [394 kB] Fetched 395 kB in 0s (19.5 MB/s) Reading package lists... usr-is-merged found -- running merged-usr setup hook dpkg-deb: building package 'usr-is-merged' in '/srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd/tmp/tmp.DevDgHS839/usr-is-merged.deb'. Selecting previously unselected package usr-is-merged. (Reading database ... 0 files and directories currently installed.) Preparing to unpack .../usr-is-merged.deb ... Unpacking usr-is-merged (1) ... touch: cannot touch '/run/needrestart/unpacked': Permission denied Setting up usr-is-merged (1) ... I: skipping apt-get update because it was already run I: downloading packages with apt... 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./gcc-13-base_13.2.0-2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libc6_2.37-7_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libgcc-s1_13.2.0-2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./mawk_1.3.4.20230808-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./base-files_13_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libtinfo6_6.4%2b20230625-2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./debianutils_5.8-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./bash_5.2.15-2%2bb4_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libcap2_2.66-4_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libgpg-error0_1.47-2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - 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127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libbz2-1.0_1.0.8-5%2bb1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libmd0_1.1.0-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./zlib1g_1.2.13.dfsg-3_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./tar_1.34%2bdfsg-1.2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./dpkg_1.21.22_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./dash_0.5.12-6_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./diffutils_3.8-4_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./findutils_4.9.0-5_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./grep_3.11-3_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./gzip_1.12-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./hostname_3.23%2bnmu1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libaudit-common_3.1.1-1_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libcap-ng0_0.8.3-1%2bb3_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libaudit1_3.1.1-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libcrypt1_4.4.36-2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./debconf_1.5.82_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libpam0g_1.5.2-7_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libdb5.3_5.3.28%2bdfsg2-2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libpam-modules-bin_1.5.2-7_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libpam-modules_1.5.2-7_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libpam-runtime_1.5.2-7_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./login_4.13%2bdfsg1-1%2bb1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./ncurses-bin_6.4%2b20230625-2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./perl-base_5.36.0-8_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./sed_4.9-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libblkid1_2.39.2-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libmount1_2.39.2-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libsmartcols1_2.39.2-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libudev1_254.1-2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libuuid1_2.39.2-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./util-linux_2.39.2-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libdebconfclient0_0.270_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./base-passwd_3.6.1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./init-system-helpers_1.65.2_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./libc-bin_2.37-7_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./ncurses-base_6.4%2b20230625-2_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:33] "GET /./sysvinit-utils_3.07-1_amd64.deb HTTP/1.1" 200 - I: extracting archives... I: running --extract-hook directly: /usr/share/mmdebstrap/hooks/maybe-merged-usr/extract00.sh /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd 127.0.0.1 - - [20/Jun/2025 21:14:35] code 404, message File not found 127.0.0.1 - - [20/Jun/2025 21:14:35] "GET /./InRelease HTTP/1.1" 404 - Ign:1 http://localhost:33187 ./ InRelease 127.0.0.1 - - [20/Jun/2025 21:14:35] "GET /./Release HTTP/1.1" 304 - Hit:2 http://localhost:33187 ./ Release 127.0.0.1 - - [20/Jun/2025 21:14:35] code 404, message File not found 127.0.0.1 - - [20/Jun/2025 21:14:35] "GET /./Release.gpg HTTP/1.1" 404 - Ign:3 http://localhost:33187 ./ Release.gpg Reading package lists... usr-is-merged found -- running merged-usr extract hook I: installing essential packages... I: running --essential-hook directly: /usr/share/mmdebstrap/hooks/maybe-merged-usr/essential00.sh /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd dummy usr-is-merged package installed -- running merged-usr essential hook Reading package lists... Building dependency tree... The following packages will be upgraded: usr-is-merged 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./usr-is-merged_35_all.deb HTTP/1.1" 200 - 1 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. Need to get 4832 B of archives. After this operation, 11.3 kB of additional disk space will be used. Get:1 http://localhost:33187 ./ usr-is-merged 35 [4832 B] Fetched 4832 B in 0s (0 B/s) Chrooting into /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd/ (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 3720 files and directories currently installed.) Preparing to unpack .../usr-is-merged_35_all.deb ... Unpacking usr-is-merged (35) over (1) ... Chrooting into /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd/ Setting up usr-is-merged (35) ... Chrooting into /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd/ I: installing remaining packages inside the chroot... 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./perl-modules-5.36_5.36.0-8_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libgdbm6_1.23-3_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libgdbm-compat4_1.23-3_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libperl5.36_5.36.0-8_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./perl_5.36.0-8_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libnumber-compare-perl_0.03-3_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libtext-glob-perl_0.11-3_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libfile-find-rule-perl_0.34-3_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./usrmerge_35_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./sensible-utils_0.0.20_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./tzdata_2023c-10_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libstdc%2b%2b6_13.2.0-2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libuchardet0_0.0.7-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./groff-base_1.23.0-2_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./bsdextrautils_2.39.2-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libpipeline1_1.5.7-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libseccomp2_2.5.4-1%2bb3_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./man-db_2.11.2-3_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./bzip2_1.0.8-5%2bb1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./libssl3_3.0.10-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:40] "GET /./openssl_3.0.10-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - 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127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libeval-closure-perl_0.14-3_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libdist-checkconflicts-perl_0.11-2_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libmodule-runtime-conflicts-perl_0.003-2_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libpackage-deprecationmanager-perl_0.18-1_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libmoose-perl_2.2206-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libvariable-magic-perl_0.63-1%2bb1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libb-hooks-endofscope-perl_0.26-1_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libsub-identify-perl_0.14-3_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libnamespace-clean-perl_0.27-2_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libcurl3-gnutls_8.2.1-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libwww-curl-perl_4.17-10_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./libwww-curl-simple-perl_0.100191-3_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./dh-r_20230722_all.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:43] "GET /./r-cran-survival_3.5-7-1_amd64.deb HTTP/1.1" 200 - 127.0.0.1 - - [20/Jun/2025 21:14:44] "GET /./debootsnap-dummy_1.0_all.deb HTTP/1.1" 200 - I: running --customize-hook directly: /srv/rebuilderd/tmp/tmpy03o62u5/apt_install.sh /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd Reading package lists... Building dependency tree... Reading state information... libp11-kit0 is already the newest version (0.25.0-4). libp11-kit0 set to manually installed. dh-strip-nondeterminism is already the newest version (1.13.1-1). dh-strip-nondeterminism set to manually installed. libpixman-1-0 is already the newest version (0.42.2-1). libpixman-1-0 set to manually installed. libgomp1 is already the newest version (13.2.0-2). libgomp1 set to manually installed. libjpeg62-turbo-dev is already the newest version (1:2.1.5-2). libjpeg62-turbo-dev set to manually installed. libncursesw6 is already the newest version (6.4+20230625-2). libncursesw6 set to manually installed. libpaper1 is already the newest version (1.1.29). libpaper1 set to manually installed. libsub-exporter-perl is already the newest version (0.990-1). libsub-exporter-perl set to manually installed. perl is already the newest version (5.36.0-8). perl set to manually installed. liblzma5 is already the newest version (5.4.1-0.2). libstdc++6 is already the newest version (13.2.0-2). libstdc++6 set to manually installed. librtmp1 is already the newest version (2.4+20151223.gitfa8646d.1-2+b2). librtmp1 set to manually installed. libtsan2 is already the newest version (13.2.0-2). libtsan2 set to manually installed. libclone-perl is already the newest version (0.46-1). libclone-perl set to manually installed. libdevel-overloadinfo-perl is already the newest version (0.007-1). libdevel-overloadinfo-perl set to manually installed. libxt6 is already the newest version (1:1.2.1-1.1). libxt6 set to manually installed. libzstd1 is already the newest version (1.5.5+dfsg2-1). libpackage-stash-perl is already the newest version (0.40-1). libpackage-stash-perl set to manually installed. libsub-override-perl is already the newest version (0.09-4). libsub-override-perl set to manually installed. zlib1g is already the newest version (1:1.2.13.dfsg-3). libpam-modules-bin is already the newest version (1.5.2-7). bsdutils is already the newest version (1:2.39.2-1). m4 is already the newest version (1.4.19-3). m4 set to manually installed. libacl1 is already the newest version (2.3.1-3). r-cran-matrix is already the newest version (1.6-1-1). r-cran-matrix set to manually installed. libhogweed6 is already the newest version (3.9.1-2). libhogweed6 set to manually installed. libice6 is already the newest version (2:1.0.10-1). libice6 set to manually installed. libpango-1.0-0 is already the newest version (1.51.0+ds-2). libpango-1.0-0 set to manually installed. liblapack-dev is already the newest version (3.11.0-2). liblapack-dev set to manually installed. r-base-dev is already the newest version (4.3.1-4). r-base-dev set to manually installed. file is already the newest version (1:5.44-3). file set to manually installed. libreadline-dev is already the newest version (8.2-1.3). libreadline-dev set to manually installed. libmpfr6 is already the newest version (4.2.0-1). libmpfr6 set to manually installed. login is already the newest version (1:4.13+dfsg1-1+b1). libc6-dev is already the newest version (2.37-7). libc6-dev set to manually installed. util-linux is already the newest version (2.39.2-1). libclass-load-perl is already the newest version (0.25-2). libclass-load-perl set to manually installed. liblz4-1 is already the newest version (1.9.4-1). libtasn1-6 is already the newest version (4.19.0-3). libtasn1-6 set to manually installed. libxext6 is already the newest version (2:1.3.4-1+b1). libxext6 set to manually installed. libfreetype6 is already the newest version (2.13.1+dfsg-1). libfreetype6 set to manually installed. libsframe1 is already the newest version (2.41-4). libsframe1 set to manually installed. libhttp-date-perl is already the newest version (6.05-2). libhttp-date-perl set to manually installed. readline-common is already the newest version (8.2-1.3). readline-common set to manually installed. libfile-find-rule-perl is already the newest version (0.34-3). libfile-find-rule-perl set to manually installed. libpackage-stash-xs-perl is already the newest version (0.30-1+b1). libpackage-stash-xs-perl set to manually installed. libncurses6 is already the newest version (6.4+20230625-2). libncurses6 set to manually installed. patch is already the newest version (2.7.6-7). patch set to manually installed. libbinutils is already the newest version (2.41-4). libbinutils set to manually installed. libtk8.6 is already the newest version (8.6.13-2). libtk8.6 set to manually installed. libk5crypto3 is already the newest version (1.20.1-3). libk5crypto3 set to manually installed. binutils-x86-64-linux-gnu is already the newest version (2.41-4). binutils-x86-64-linux-gnu set to manually installed. libxss1 is already the newest version (1:1.2.3-1). libxss1 set to manually installed. base-files is already the newest version (13). r-cran-shape is already the newest version (1.4.6-1). r-cran-shape set to manually installed. gcc-13-base is already the newest version (13.2.0-2). libfontconfig1 is already the newest version (2.14.2-4). libfontconfig1 set to manually installed. libtirpc3 is already the newest version (1.3.3+ds-1). libtirpc3 set to manually installed. liblapack3 is already the newest version (3.11.0-2). liblapack3 set to manually installed. debhelper is already the newest version (13.11.5). debhelper set to manually installed. libsub-name-perl is already the newest version (0.27-1). libsub-name-perl set to manually installed. automake is already the newest version (1:1.16.5-1.3). automake set to manually installed. libx11-6 is already the newest version (2:1.8.6-1). libx11-6 set to manually installed. libmpc3 is already the newest version (1.3.1-1). libmpc3 set to manually installed. libxmuu1 is already the newest version (2:1.1.3-3). libxmuu1 set to manually installed. libtext-glob-perl is already the newest version (0.11-3). libtext-glob-perl set to manually installed. r-cran-rcpp is already the newest version (1.0.11-1). r-cran-rcpp set to manually installed. g++-13 is already the newest version (13.2.0-2). g++-13 set to manually installed. r-cran-codetools is already the newest version (0.2-19-1). r-cran-codetools set to manually installed. libgraphite2-3 is already the newest version (1.3.14-1). libgraphite2-3 set to manually installed. fonts-noto-mono is already the newest version (20201225-2). fonts-noto-mono set to manually installed. libgmp10 is already the newest version (2:6.3.0+dfsg-2). libcairo2 is already the newest version (1.16.0-7). libcairo2 set to manually installed. libbz2-dev is already the newest version (1.0.8-5+b1). libbz2-dev set to manually installed. cpp is already the newest version (4:13.2.0-1). cpp set to manually installed. r-cran-foreach is already the newest version (1.5.2-1). r-cran-foreach set to manually installed. littler is already the newest version (0.3.18-2). littler set to manually installed. g++ is already the newest version (4:13.2.0-1). g++ set to manually installed. libtirpc-common is already the newest version (1.3.3+ds-1). libtirpc-common set to manually installed. libclass-c3-perl is already the newest version (0.35-2). libclass-c3-perl set to manually installed. libquadmath0 is already the newest version (13.2.0-2). libquadmath0 set to manually installed. sensible-utils is already the newest version (0.0.20). sensible-utils set to manually installed. libkrb5-3 is already the newest version (1.20.1-3). libkrb5-3 set to manually installed. binutils is already the newest version (2.41-4). binutils set to manually installed. r-cran-rcppeigen is already the newest version (0.3.3.9.3-1). r-cran-rcppeigen set to manually installed. tar is already the newest version (1.34+dfsg-1.2). libseccomp2 is already the newest version (2.5.4-1+b3). libseccomp2 set to manually installed. r-cran-lattice is already the newest version (0.21-8-2). r-cran-lattice set to manually installed. libgcc-s1 is already the newest version (13.2.0-2). libdata-optlist-perl is already the newest version (0.114-1). libdata-optlist-perl set to manually installed. libsub-exporter-progressive-perl is already the newest version (0.001013-3). libsub-exporter-progressive-perl set to manually installed. coreutils is already the newest version (9.1-1). libdevel-callchecker-perl is already the newest version (0.008-2). libdevel-callchecker-perl set to manually installed. usrmerge is already the newest version (35). usrmerge set to manually installed. liblwp-mediatypes-perl is already the newest version (6.04-2). liblwp-mediatypes-perl set to manually installed. libxft2 is already the newest version (2.3.6-1). libxft2 set to manually installed. libgssapi-krb5-2 is already the newest version (1.20.1-3). libgssapi-krb5-2 set to manually installed. libuchardet0 is already the newest version (0.0.7-1). libuchardet0 set to manually installed. gfortran-13 is already the newest version (13.2.0-2). gfortran-13 set to manually installed. libdpkg-perl is already the newest version (1.21.22). libdpkg-perl set to manually installed. dpkg-dev is already the newest version (1.21.22). dpkg-dev set to manually installed. libbsd0 is already the newest version (0.11.7-4). libbsd0 set to manually installed. libthai0 is already the newest version (0.1.29-1). libthai0 set to manually installed. x11-common is already the newest version (1:7.7+23). x11-common set to manually installed. perl-modules-5.36 is already the newest version (5.36.0-8). perl-modules-5.36 set to manually installed. libmd0 is already the newest version (1.1.0-1). libgdbm-compat4 is already the newest version (1.23-3). libgdbm-compat4 set to manually installed. libjpeg-dev is already the newest version (1:2.1.5-2). libjpeg-dev set to manually installed. libdevel-stacktrace-perl is already the newest version (2.0400-2). libdevel-stacktrace-perl set to manually installed. dh-r is already the newest version (20230722). dh-r set to manually installed. libsmartcols1 is already the newest version (2.39.2-1). zip is already the newest version (3.0-13). zip set to manually installed. binutils-common is already the newest version (2.41-4). binutils-common set to manually installed. libpsl5 is already the newest version (0.21.2-1). libpsl5 set to manually installed. libpkgconf3 is already the newest version (1.8.1-1). libpkgconf3 set to manually installed. gzip is already the newest version (1.12-1). libmoose-perl is already the newest version (2.2206-1). libmoose-perl set to manually installed. libsystemd0 is already the newest version (254.1-2). libtool is already the newest version (2.4.7-7). libtool set to manually installed. libparams-util-perl is already the newest version (1.102-2+b1). libparams-util-perl set to manually installed. libnsl2 is already the newest version (1.3.0-2). libnsl2 set to manually installed. zlib1g-dev is already the newest version (1:1.2.13.dfsg-3). zlib1g-dev set to manually installed. libio-html-perl is already the newest version (1.004-3). libio-html-perl set to manually installed. libcrypt-dev is already the newest version (1:4.4.36-2). libcrypt-dev set to manually installed. libpangoft2-1.0-0 is already the newest version (1.51.0+ds-2). libpangoft2-1.0-0 set to manually installed. groff-base is already the newest version (1.23.0-2). groff-base set to manually installed. libdb5.3 is already the newest version (5.3.28+dfsg2-2). icu-devtools is already the newest version (72.1-3). icu-devtools set to manually installed. libjansson4 is already the newest version (2.14-2). libjansson4 set to manually installed. libpng-dev is already the newest version (1.6.40-1). libpng-dev set to manually installed. libicu-dev is already the newest version (72.1-3). libicu-dev set to manually installed. liblzma-dev is already the newest version (5.4.1-0.2). liblzma-dev set to manually installed. bzip2 is already the newest version (1.0.8-5+b1). bzip2 set to manually installed. liblsan0 is already the newest version (13.2.0-2). liblsan0 set to manually installed. libmagic-mgc is already the newest version (1:5.44-3). libmagic-mgc set to manually installed. pkgconf-bin is already the newest version (1.8.1-1). pkgconf-bin set to manually installed. libswitch-perl is already the newest version (2.17-3). libswitch-perl set to manually installed. libpcre2-dev is already the newest version (10.42-3). libpcre2-dev set to manually installed. libitm1 is already the newest version (13.2.0-2). libitm1 set to manually installed. base-passwd is already the newest version (3.6.1). xdg-utils is already the newest version (1.1.3-4.1). xdg-utils set to manually installed. libdeflate0 is already the newest version (1.18-1). libdeflate0 set to manually installed. pkgconf is already the newest version (1.8.1-1). pkgconf set to manually installed. build-essential is already the newest version (12.10). build-essential set to manually installed. libglib2.0-0 is already the newest version (2.77.2-1). libglib2.0-0 set to manually installed. libssl3 is already the newest version (3.0.10-1). libssl3 set to manually installed. libclass-load-xs-perl is already the newest version (0.10-2+b1). libclass-load-xs-perl set to manually installed. libb-hooks-endofscope-perl is already the newest version (0.26-1). libb-hooks-endofscope-perl set to manually installed. perl-base is already the newest version (5.36.0-8). libdynaloader-functions-perl is already the newest version (0.003-3). libdynaloader-functions-perl set to manually installed. gcc is already the newest version (4:13.2.0-1). gcc set to manually installed. libxrender1 is already the newest version (1:0.9.10-1.1). libxrender1 set to manually installed. libpng16-16 is already the newest version (1.6.40-1). libpng16-16 set to manually installed. libx11-data is already the newest version (2:1.8.6-1). libx11-data set to manually installed. libnumber-compare-perl is already the newest version (0.03-3). libnumber-compare-perl set to manually installed. libaudit1 is already the newest version (1:3.1.1-1). libgcrypt20 is already the newest version (1.10.2-2). libpipeline1 is already the newest version (1.5.7-1). libpipeline1 set to manually installed. libfribidi0 is already the newest version (1.0.13-3). libfribidi0 set to manually installed. libparams-classify-perl is already the newest version (0.015-2+b1). libparams-classify-perl set to manually installed. libdatrie1 is already the newest version (0.2.13-2+b1). libdatrie1 set to manually installed. libasan8 is already the newest version (13.2.0-2). libasan8 set to manually installed. po-debconf is already the newest version (1.0.21+nmu1). po-debconf set to manually installed. libpam0g is already the newest version (1.5.2-7). libmro-compat-perl is already the newest version (0.15-2). libmro-compat-perl set to manually installed. r-cran-pkgkitten is already the newest version (0.2.3-1). r-cran-pkgkitten set to manually installed. libmodule-runtime-perl is already the newest version (0.016-2). libmodule-runtime-perl set to manually installed. libdebhelper-perl is already the newest version (13.11.5). libdebhelper-perl set to manually installed. man-db is already the newest version (2.11.2-3). man-db set to manually installed. libnamespace-clean-perl is already the newest version (0.27-2). libnamespace-clean-perl set to manually installed. libwww-curl-simple-perl is already the newest version (0.100191-3). libwww-curl-simple-perl set to manually installed. libc6 is already the newest version (2.37-7). libthai-data is already the newest version (0.1.29-1). libthai-data set to manually installed. libpcre2-8-0 is already the newest version (10.42-3). libncurses-dev is already the newest version (6.4+20230625-2). libncurses-dev set to manually installed. libgprofng0 is already the newest version (2.41-4). libgprofng0 set to manually installed. cpp-13 is already the newest version (13.2.0-2). cpp-13 set to manually installed. libcurl3-gnutls is already the newest version (8.2.1-1). libcurl3-gnutls set to manually installed. libpcre2-posix3 is already the newest version (10.42-3). libpcre2-posix3 set to manually installed. libidn2-0 is already the newest version (2.3.4-1). libidn2-0 set to manually installed. libldap-2.5-0 is already the newest version (2.5.13+dfsg-5). libldap-2.5-0 set to manually installed. libsm6 is already the newest version (2:1.2.3-1). libsm6 set to manually installed. libwebp7 is already the newest version (1.2.4-0.2). libwebp7 set to manually installed. tzdata is already the newest version (2023c-10). tzdata set to manually installed. libblas3 is already the newest version (3.11.0-2). libblas3 set to manually installed. libpaper-utils is already the newest version (1.1.29). libpaper-utils set to manually installed. libctf-nobfd0 is already the newest version (2.41-4). libctf-nobfd0 set to manually installed. debconf is already the newest version (1.5.82). libcom-err2 is already the newest version (1.47.0-2). libcom-err2 set to manually installed. linux-libc-dev is already the newest version (6.4.11-1). linux-libc-dev set to manually installed. libcc1-0 is already the newest version (13.2.0-2). libcc1-0 set to manually installed. libgfortran-13-dev is already the newest version (13.2.0-2). libgfortran-13-dev set to manually installed. libsasl2-modules-db is already the newest version (2.1.28+dfsg1-3). libsasl2-modules-db set to manually installed. intltool-debian is already the newest version (0.35.0+20060710.6). intltool-debian set to manually installed. libxcb1 is already the newest version (1.15-1). libxcb1 set to manually installed. grep is already the newest version (3.11-3). mawk is already the newest version (1.3.4.20230808-1). libnsl-dev is already the newest version (1.3.0-2). libnsl-dev set to manually installed. libarchive-zip-perl is already the newest version (1.68-1). libarchive-zip-perl set to manually installed. libblas-dev is already the newest version (3.11.0-2). libblas-dev set to manually installed. libelf1 is already the newest version (0.189-4). libelf1 set to manually installed. libffi8 is already the newest version (3.4.4-1). libffi8 set to manually installed. usr-is-merged is already the newest version (35). libxcb-render0 is already the newest version (1.15-1). libxcb-render0 set to manually installed. autoconf is already the newest version (2.71-3). autoconf set to manually installed. libselinux1 is already the newest version (3.5-1). libtiff6 is already the newest version (4.5.1+git230720-1). libtiff6 set to manually installed. libc-dev-bin is already the newest version (2.37-7). libc-dev-bin set to manually installed. libunistring2 is already the newest version (1.0-2). libunistring2 set to manually installed. libcap2 is already the newest version (1:2.66-4). libssh2-1 is already the newest version (1.11.0-2). libssh2-1 set to manually installed. libgpg-error0 is already the newest version (1.47-2). rpcsvc-proto is already the newest version (1.4.3-1). rpcsvc-proto set to manually installed. libnghttp2-14 is already the newest version (1.55.1-1). libnghttp2-14 set to manually installed. openssl is already the newest version (3.0.10-1). openssl set to manually installed. libpam-runtime is already the newest version (1.5.2-7). libmodule-implementation-perl is already the newest version (0.09-2). libmodule-implementation-perl set to manually installed. pkg-config is already the newest version (1.8.1-1). pkg-config set to manually installed. libgfortran5 is already the newest version (13.2.0-2). libgfortran5 set to manually installed. libgnutls30 is already the newest version (3.8.1-4). libgnutls30 set to manually installed. libctf0 is already the newest version (2.41-4). libctf0 set to manually installed. libharfbuzz0b is already the newest version (8.0.1-1). libharfbuzz0b set to manually installed. libcurl4 is already the newest version (8.2.1-1). libcurl4 set to manually installed. libhttp-message-perl is already the newest version (6.44-2). libhttp-message-perl set to manually installed. libxau6 is already the newest version (1:1.0.9-1). libxau6 set to manually installed. make is already the newest version (4.3-4.1). make set to manually installed. libmount1 is already the newest version (2.39.2-1). r-cran-littler is already the newest version (0.3.18-2). r-cran-littler set to manually installed. r-base-core is already the newest version (4.3.1-4). r-base-core set to manually installed. libsasl2-2 is already the newest version (2.1.28+dfsg1-3). libsasl2-2 set to manually installed. libtirpc-dev is already the newest version (1.3.3+ds-1). libtirpc-dev set to manually installed. fonts-noto-core is already the newest version (20201225-2). fonts-noto-core set to manually installed. libmagic1 is already the newest version (1:5.44-3). libmagic1 set to manually installed. libkrb5support0 is already the newest version (1.20.1-3). libkrb5support0 set to manually installed. libxdmcp6 is already the newest version (1:1.1.2-3). libxdmcp6 set to manually installed. libpcre2-16-0 is already the newest version (10.42-3). libpcre2-16-0 set to manually installed. r-cran-survival is already the newest version (3.5-7-1). r-cran-survival set to manually installed. findutils is already the newest version (4.9.0-5). bash is already the newest version (5.2.15-2+b4). libeval-closure-perl is already the newest version (0.14-3). libeval-closure-perl set to manually installed. libxml2 is already the newest version (2.9.14+dfsg-1.3). libxml2 set to manually installed. libattr1 is already the newest version (1:2.5.1-4). dwz is already the newest version (0.15-1). dwz set to manually installed. xauth is already the newest version (1:1.1.2-1). xauth set to manually installed. libxcb-shm0 is already the newest version (1.15-1). libxcb-shm0 set to manually installed. liblerc4 is already the newest version (4.0.0+ds-2). liblerc4 set to manually installed. libudev1 is already the newest version (254.1-2). libcap-ng0 is already the newest version (0.8.3-1+b3). libsub-identify-perl is already the newest version (0.14-3). libsub-identify-perl set to manually installed. ncurses-base is already the newest version (6.4+20230625-2). libcrypt1 is already the newest version (1:4.4.36-2). gettext-base is already the newest version (0.21-13). gettext-base set to manually installed. ucf is already the newest version (3.0043+nmu1). ucf set to manually installed. sysvinit-utils is already the newest version (3.07-1). libfile-which-perl is already the newest version (1.27-2). libfile-which-perl set to manually installed. libtcl8.6 is already the newest version (8.6.13+dfsg-2). libtcl8.6 set to manually installed. autopoint is already the newest version (0.21-13). autopoint set to manually installed. libreadline8 is already the newest version (8.2-1.3). libreadline8 set to manually installed. xz-utils is already the newest version (5.4.1-0.2). xz-utils set to manually installed. libperl5.36 is already the newest version (5.36.0-8). libperl5.36 set to manually installed. libblkid1 is already the newest version (2.39.2-1). dctrl-tools is already the newest version (2.24-3+b1). dctrl-tools set to manually installed. fontconfig is already the newest version (2.14.2-4). fontconfig set to manually installed. libdist-checkconflicts-perl is already the newest version (0.11-2). libdist-checkconflicts-perl set to manually installed. libicu72 is already the newest version (72.1-3). libicu72 set to manually installed. unzip is already the newest version (6.0-28). unzip set to manually installed. libb-hooks-op-check-perl is already the newest version (0.22-2+b1). libb-hooks-op-check-perl set to manually installed. gcc-13 is already the newest version (13.2.0-2). gcc-13 set to manually installed. libc-bin is already the newest version (2.37-7). libstdc++-13-dev is already the newest version (13.2.0-2). libstdc++-13-dev set to manually installed. bsdextrautils is already the newest version (2.39.2-1). bsdextrautils set to manually installed. r-cran-iterators is already the newest version (1.0.14-1). r-cran-iterators set to manually installed. libdebconfclient0 is already the newest version (0.270). dpkg is already the newest version (1.21.22). libhwasan0 is already the newest version (13.2.0-2). libhwasan0 set to manually installed. libnettle8 is already the newest version (3.9.1-2). libnettle8 set to manually installed. libencode-locale-perl is already the newest version (1.05-3). libencode-locale-perl set to manually installed. libtimedate-perl is already the newest version (2.3300-2). libtimedate-perl set to manually installed. libubsan1 is already the newest version (13.2.0-2). libubsan1 set to manually installed. libmodule-runtime-conflicts-perl is already the newest version (0.003-2). libmodule-runtime-conflicts-perl set to manually installed. libpangocairo-1.0-0 is already the newest version (1.51.0+ds-2). libpangocairo-1.0-0 set to manually installed. hostname is already the newest version (3.23+nmu1). libsub-install-perl is already the newest version (0.929-1). libsub-install-perl set to manually installed. autotools-dev is already the newest version (20220109.1). autotools-dev set to manually installed. fontconfig-config is already the newest version (2.14.2-4). fontconfig-config set to manually installed. libfile-stripnondeterminism-perl is already the newest version (1.13.1-1). libfile-stripnondeterminism-perl set to manually installed. libpam-modules is already the newest version (1.5.2-7). libtinfo6 is already the newest version (6.4+20230625-2). libalgorithm-c3-perl is already the newest version (0.11-2). libalgorithm-c3-perl set to manually installed. dash is already the newest version (0.5.12-6). liburi-perl is already the newest version (5.19-2). liburi-perl set to manually installed. libbz2-1.0 is already the newest version (1.0.8-5+b1). diffutils is already the newest version (1:3.8-4). libwww-curl-perl is already the newest version (4.17-10). libwww-curl-perl set to manually installed. libjbig0 is already the newest version (2.1-6.1). libjbig0 set to manually installed. libpackage-deprecationmanager-perl is already the newest version (0.18-1). libpackage-deprecationmanager-perl set to manually installed. ca-certificates is already the newest version (20230311). ca-certificates set to manually installed. libpcre2-32-0 is already the newest version (10.42-3). libpcre2-32-0 set to manually installed. gfortran is already the newest version (4:13.2.0-1). gfortran set to manually installed. libuuid1 is already the newest version (2.39.2-1). libaudit-common is already the newest version (1:3.1.1-1). gettext is already the newest version (0.21-13). gettext set to manually installed. libtry-tiny-perl is already the newest version (0.31-2). libtry-tiny-perl set to manually installed. libgdbm6 is already the newest version (1.23-3). libgdbm6 set to manually installed. libisl23 is already the newest version (0.26-3). libisl23 set to manually installed. libatomic1 is already the newest version (13.2.0-2). libatomic1 set to manually installed. libjpeg62-turbo is already the newest version (1:2.1.5-2). libjpeg62-turbo set to manually installed. libkeyutils1 is already the newest version (1.6.3-2). libkeyutils1 set to manually installed. dh-autoreconf is already the newest version (20). dh-autoreconf set to manually installed. libbrotli1 is already the newest version (1.0.9-2+b6). libbrotli1 set to manually installed. libgcc-13-dev is already the newest version (13.2.0-2). libgcc-13-dev set to manually installed. sed is already the newest version (4.9-1). init-system-helpers is already the newest version (1.65.2). libexpat1 is already the newest version (2.5.0-2). libexpat1 set to manually installed. ncurses-bin is already the newest version (6.4+20230625-2). libdevel-globaldestruction-perl is already the newest version (0.14-4). libdevel-globaldestruction-perl set to manually installed. libvariable-magic-perl is already the newest version (0.63-1+b1). libvariable-magic-perl set to manually installed. debianutils is already the newest version (5.8-1). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. I: running --customize-hook in shell: sh -c 'chroot "$1" dpkg -r debootsnap-dummy' exec /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd (Reading database ... 19676 files and directories currently installed.) Removing debootsnap-dummy (1.0) ... I: running --customize-hook in shell: sh -c 'chroot "$1" dpkg-query --showformat '${binary:Package}=${Version}\n' --show > "$1/pkglist"' exec /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd I: running special hook: download /pkglist ./pkglist I: running --customize-hook in shell: sh -c 'rm "$1/pkglist"' exec /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd I: running special hook: upload sources.list /etc/apt/sources.list I: waiting for background processes to finish... I: PID 7112 exited with exit code 0 I: cleaning package lists and apt cache... I: skipping cleanup/reproducible as requested I: creating tarball... I: done I: removing tempdir /srv/rebuilderd/tmp/mmdebstrap.Ya3ebhAivd... I: success in 69.8588 seconds Downloading dependency 264 of 318: libdist-checkconflicts-perl:amd64=0.11-2 Downloading dependency 265 of 318: libicu72:amd64=72.1-3 Downloading dependency 266 of 318: unzip:amd64=6.0-28 Downloading dependency 267 of 318: libb-hooks-op-check-perl:amd64=0.22-2+b1 Downloading dependency 268 of 318: gcc-13:amd64=13.2.0-2 Downloading dependency 269 of 318: libc-bin:amd64=2.37-7 Downloading dependency 270 of 318: libstdc++-13-dev:amd64=13.2.0-2 Downloading dependency 271 of 318: bsdextrautils:amd64=2.39.2-1 Downloading dependency 272 of 318: r-cran-iterators:amd64=1.0.14-1 Downloading dependency 273 of 318: libdebconfclient0:amd64=0.270 Downloading dependency 274 of 318: dpkg:amd64=1.21.22 Downloading dependency 275 of 318: libhwasan0:amd64=13.2.0-2 Downloading dependency 276 of 318: libnettle8:amd64=3.9.1-2 Downloading dependency 277 of 318: libencode-locale-perl:amd64=1.05-3 Downloading dependency 278 of 318: libtimedate-perl:amd64=2.3300-2 Downloading dependency 279 of 318: libubsan1:amd64=13.2.0-2 Downloading dependency 280 of 318: libmodule-runtime-conflicts-perl:amd64=0.003-2 Downloading dependency 281 of 318: libpangocairo-1.0-0:amd64=1.51.0+ds-2 Downloading dependency 282 of 318: hostname:amd64=3.23+nmu1 Downloading dependency 283 of 318: libsub-install-perl:amd64=0.929-1 Downloading dependency 284 of 318: autotools-dev:amd64=20220109.1 Downloading dependency 285 of 318: fontconfig-config:amd64=2.14.2-4 Downloading dependency 286 of 318: libfile-stripnondeterminism-perl:amd64=1.13.1-1 Downloading dependency 287 of 318: libpam-modules:amd64=1.5.2-7 Downloading dependency 288 of 318: libtinfo6:amd64=6.4+20230625-2 Downloading dependency 289 of 318: libalgorithm-c3-perl:amd64=0.11-2 Downloading dependency 290 of 318: dash:amd64=0.5.12-6 Downloading dependency 291 of 318: liburi-perl:amd64=5.19-2 Downloading dependency 292 of 318: libbz2-1.0:amd64=1.0.8-5+b1 Downloading dependency 293 of 318: diffutils:amd64=1:3.8-4 Downloading dependency 294 of 318: libwww-curl-perl:amd64=4.17-10 Downloading dependency 295 of 318: libjbig0:amd64=2.1-6.1 Downloading dependency 296 of 318: libpackage-deprecationmanager-perl:amd64=0.18-1 Downloading dependency 297 of 318: ca-certificates:amd64=20230311 Downloading dependency 298 of 318: libpcre2-32-0:amd64=10.42-3 Downloading dependency 299 of 318: gfortran:amd64=4:13.2.0-1 Downloading dependency 300 of 318: libuuid1:amd64=2.39.2-1 Downloading dependency 301 of 318: libaudit-common:amd64=1:3.1.1-1 Downloading dependency 302 of 318: gettext:amd64=0.21-13 Downloading dependency 303 of 318: libtry-tiny-perl:amd64=0.31-2 Downloading dependency 304 of 318: libgdbm6:amd64=1.23-3 Downloading dependency 305 of 318: libisl23:amd64=0.26-3 Downloading dependency 306 of 318: libatomic1:amd64=13.2.0-2 Downloading dependency 307 of 318: libjpeg62-turbo:amd64=1:2.1.5-2 Downloading dependency 308 of 318: libkeyutils1:amd64=1.6.3-2 Downloading dependency 309 of 318: dh-autoreconf:amd64=20 Downloading dependency 310 of 318: libbrotli1:amd64=1.0.9-2+b6 Downloading dependency 311 of 318: libgcc-13-dev:amd64=13.2.0-2 Downloading dependency 312 of 318: sed:amd64=4.9-1 Downloading dependency 313 of 318: init-system-helpers:amd64=1.65.2 Downloading dependency 314 of 318: libexpat1:amd64=2.5.0-2 Downloading dependency 315 of 318: ncurses-bin:amd64=6.4+20230625-2 Downloading dependency 316 of 318: libdevel-globaldestruction-perl:amd64=0.14-4 Downloading dependency 317 of 318: libvariable-magic-perl:amd64=0.63-1+b1 Downloading dependency 318 of 318: debianutils:amd64=5.8-1 env --chdir=/srv/rebuilderd/tmp/rebuilderdhnbgN8/out DEB_BUILD_OPTIONS=parallel=4 LC_ALL=C.UTF-8 LC_COLLATE=C.UTF-8 SOURCE_DATE_EPOCH=1692962060 SBUILD_CONFIG=/srv/rebuilderd/tmp/debrebuildKpUDbG/debrebuild.sbuildrc.xHeNRGKeocOt sbuild --build=amd64 --host=amd64 --no-source --arch-any --no-arch-all --chroot=/srv/rebuilderd/tmp/debrebuildKpUDbG/debrebuild.tar.n1Y8GXF0B6er --chroot-mode=unshare --dist=unstable --no-run-lintian --no-run-piuparts --no-run-autopkgtest --no-apt-update --no-apt-upgrade --no-apt-distupgrade --starting-build-commands=grep -iq "^Rules-Requires-Root:" "%p/debian/control" || sed -i "1iRules-Requires-Root: no" "%p/debian/control" --verbose --nolog --bd-uninstallable-explainer= --build-path=/build/reproducible-path --dsc-dir=r-cran-glmnet-4.1-8 /srv/rebuilderd/tmp/rebuilderdhnbgN8/inputs/r-cran-glmnet_4.1-8-1.dsc I: consider moving your ~/.sbuildrc to /srv/rebuilderd/.config/sbuild/config.pl The Debian buildds switched to the "unshare" backend and sbuild will default to it in the future. To start using "unshare" add this to your `~/.config/sbuild/config.pl`: $chroot_mode = "unshare"; If you want to keep the old "schroot" mode even in the future, add the following to your `~/.config/sbuild/config.pl`: $chroot_mode = "schroot"; $schroot = "schroot"; sbuild (Debian sbuild) 0.89.3 (07 June 2025) on osuosl4-amd64.reproducible.osuosl.org +==============================================================================+ | r-cran-glmnet 4.1-8-1 (amd64) Fri, 20 Jun 2025 21:15:44 +0000 | +==============================================================================+ Package: r-cran-glmnet Version: 4.1-8-1 Source Version: 4.1-8-1 Distribution: unstable Machine Architecture: amd64 Host Architecture: amd64 Build Architecture: amd64 Build Type: any I: No tarballs found in /srv/rebuilderd/.cache/sbuild I: Unpacking /srv/rebuilderd/tmp/debrebuildKpUDbG/debrebuild.tar.n1Y8GXF0B6er to /srv/rebuilderd/tmp/tmp.sbuild.q2cCVGJQZo... I: Setting up the chroot... I: Creating chroot session... I: Setting up log color... I: Setting up apt archive... +------------------------------------------------------------------------------+ | Fetch source files Fri, 20 Jun 2025 21:15:51 +0000 | +------------------------------------------------------------------------------+ Local sources ------------- /srv/rebuilderd/tmp/rebuilderdhnbgN8/inputs/r-cran-glmnet_4.1-8-1.dsc exists in /srv/rebuilderd/tmp/rebuilderdhnbgN8/inputs; copying to chroot +------------------------------------------------------------------------------+ | Install package build dependencies Fri, 20 Jun 2025 21:15:54 +0000 | +------------------------------------------------------------------------------+ Setup apt archive ----------------- Merged Build-Depends: debhelper-compat (= 13), dh-r, r-base-dev, r-cran-matrix, r-cran-foreach, r-cran-shape, r-cran-survival, r-cran-rcpp, r-cran-rcppeigen, build-essential Filtered Build-Depends: debhelper-compat (= 13), dh-r, r-base-dev, r-cran-matrix, r-cran-foreach, r-cran-shape, r-cran-survival, r-cran-rcpp, r-cran-rcppeigen, build-essential dpkg-deb: building package 'sbuild-build-depends-main-dummy' in '/build/reproducible-path/resolver-ceuMw2/apt_archive/sbuild-build-depends-main-dummy.deb'. Install main build dependencies (apt-based resolver) ---------------------------------------------------- Installing build dependencies +------------------------------------------------------------------------------+ | Check architectures Fri, 20 Jun 2025 21:15:59 +0000 | +------------------------------------------------------------------------------+ Arch check ok (amd64 included in any) +------------------------------------------------------------------------------+ | Build environment Fri, 20 Jun 2025 21:15:59 +0000 | +------------------------------------------------------------------------------+ Kernel: Linux 6.12.31-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.12.31-1 (2025-06-09) amd64 (x86_64) Toolchain package versions: binutils_2.41-4 dpkg-dev_1.21.22 g++-13_13.2.0-2 gcc-13_13.2.0-2 libc6-dev_2.37-7 libstdc++-13-dev_13.2.0-2 libstdc++6_13.2.0-2 linux-libc-dev_6.4.11-1 Package versions: autoconf_2.71-3 automake_1:1.16.5-1.3 autopoint_0.21-13 autotools-dev_20220109.1 base-files_13 base-passwd_3.6.1 bash_5.2.15-2+b4 binutils_2.41-4 binutils-common_2.41-4 binutils-x86-64-linux-gnu_2.41-4 bsdextrautils_2.39.2-1 bsdutils_1:2.39.2-1 build-essential_12.10 bzip2_1.0.8-5+b1 ca-certificates_20230311 coreutils_9.1-1 cpp_4:13.2.0-1 cpp-13_13.2.0-2 dash_0.5.12-6 dctrl-tools_2.24-3+b1 debconf_1.5.82 debhelper_13.11.5 debianutils_5.8-1 dh-autoreconf_20 dh-r_20230722 dh-strip-nondeterminism_1.13.1-1 diffutils_1:3.8-4 dpkg_1.21.22 dpkg-dev_1.21.22 dwz_0.15-1 file_1:5.44-3 findutils_4.9.0-5 fontconfig_2.14.2-4 fontconfig-config_2.14.2-4 fonts-noto-core_20201225-2 fonts-noto-mono_20201225-2 g++_4:13.2.0-1 g++-13_13.2.0-2 gcc_4:13.2.0-1 gcc-13_13.2.0-2 gcc-13-base_13.2.0-2 gettext_0.21-13 gettext-base_0.21-13 gfortran_4:13.2.0-1 gfortran-13_13.2.0-2 grep_3.11-3 groff-base_1.23.0-2 gzip_1.12-1 hostname_3.23+nmu1 icu-devtools_72.1-3 init-system-helpers_1.65.2 intltool-debian_0.35.0+20060710.6 libacl1_2.3.1-3 libalgorithm-c3-perl_0.11-2 libarchive-zip-perl_1.68-1 libasan8_13.2.0-2 libatomic1_13.2.0-2 libattr1_1:2.5.1-4 libaudit-common_1:3.1.1-1 libaudit1_1:3.1.1-1 libb-hooks-endofscope-perl_0.26-1 libb-hooks-op-check-perl_0.22-2+b1 libbinutils_2.41-4 libblas-dev_3.11.0-2 libblas3_3.11.0-2 libblkid1_2.39.2-1 libbrotli1_1.0.9-2+b6 libbsd0_0.11.7-4 libbz2-1.0_1.0.8-5+b1 libbz2-dev_1.0.8-5+b1 libc-bin_2.37-7 libc-dev-bin_2.37-7 libc6_2.37-7 libc6-dev_2.37-7 libcairo2_1.16.0-7 libcap-ng0_0.8.3-1+b3 libcap2_1:2.66-4 libcc1-0_13.2.0-2 libclass-c3-perl_0.35-2 libclass-load-perl_0.25-2 libclass-load-xs-perl_0.10-2+b1 libclone-perl_0.46-1 libcom-err2_1.47.0-2 libcrypt-dev_1:4.4.36-2 libcrypt1_1:4.4.36-2 libctf-nobfd0_2.41-4 libctf0_2.41-4 libcurl3-gnutls_8.2.1-1 libcurl4_8.2.1-1 libdata-optlist-perl_0.114-1 libdatrie1_0.2.13-2+b1 libdb5.3_5.3.28+dfsg2-2 libdebconfclient0_0.270 libdebhelper-perl_13.11.5 libdeflate0_1.18-1 libdevel-callchecker-perl_0.008-2 libdevel-globaldestruction-perl_0.14-4 libdevel-overloadinfo-perl_0.007-1 libdevel-stacktrace-perl_2.0400-2 libdist-checkconflicts-perl_0.11-2 libdpkg-perl_1.21.22 libdynaloader-functions-perl_0.003-3 libelf1_0.189-4 libencode-locale-perl_1.05-3 libeval-closure-perl_0.14-3 libexpat1_2.5.0-2 libffi8_3.4.4-1 libfile-find-rule-perl_0.34-3 libfile-stripnondeterminism-perl_1.13.1-1 libfile-which-perl_1.27-2 libfontconfig1_2.14.2-4 libfreetype6_2.13.1+dfsg-1 libfribidi0_1.0.13-3 libgcc-13-dev_13.2.0-2 libgcc-s1_13.2.0-2 libgcrypt20_1.10.2-2 libgdbm-compat4_1.23-3 libgdbm6_1.23-3 libgfortran-13-dev_13.2.0-2 libgfortran5_13.2.0-2 libglib2.0-0_2.77.2-1 libgmp10_2:6.3.0+dfsg-2 libgnutls30_3.8.1-4 libgomp1_13.2.0-2 libgpg-error0_1.47-2 libgprofng0_2.41-4 libgraphite2-3_1.3.14-1 libgssapi-krb5-2_1.20.1-3 libharfbuzz0b_8.0.1-1 libhogweed6_3.9.1-2 libhttp-date-perl_6.05-2 libhttp-message-perl_6.44-2 libhwasan0_13.2.0-2 libice6_2:1.0.10-1 libicu-dev_72.1-3 libicu72_72.1-3 libidn2-0_2.3.4-1 libio-html-perl_1.004-3 libisl23_0.26-3 libitm1_13.2.0-2 libjansson4_2.14-2 libjbig0_2.1-6.1 libjpeg-dev_1:2.1.5-2 libjpeg62-turbo_1:2.1.5-2 libjpeg62-turbo-dev_1:2.1.5-2 libk5crypto3_1.20.1-3 libkeyutils1_1.6.3-2 libkrb5-3_1.20.1-3 libkrb5support0_1.20.1-3 liblapack-dev_3.11.0-2 liblapack3_3.11.0-2 libldap-2.5-0_2.5.13+dfsg-5 liblerc4_4.0.0+ds-2 liblsan0_13.2.0-2 liblwp-mediatypes-perl_6.04-2 liblz4-1_1.9.4-1 liblzma-dev_5.4.1-0.2 liblzma5_5.4.1-0.2 libmagic-mgc_1:5.44-3 libmagic1_1:5.44-3 libmd0_1.1.0-1 libmodule-implementation-perl_0.09-2 libmodule-runtime-conflicts-perl_0.003-2 libmodule-runtime-perl_0.016-2 libmoose-perl_2.2206-1 libmount1_2.39.2-1 libmpc3_1.3.1-1 libmpfr6_4.2.0-1 libmro-compat-perl_0.15-2 libnamespace-clean-perl_0.27-2 libncurses-dev_6.4+20230625-2 libncurses6_6.4+20230625-2 libncursesw6_6.4+20230625-2 libnettle8_3.9.1-2 libnghttp2-14_1.55.1-1 libnsl-dev_1.3.0-2 libnsl2_1.3.0-2 libnumber-compare-perl_0.03-3 libp11-kit0_0.25.0-4 libpackage-deprecationmanager-perl_0.18-1 libpackage-stash-perl_0.40-1 libpackage-stash-xs-perl_0.30-1+b1 libpam-modules_1.5.2-7 libpam-modules-bin_1.5.2-7 libpam-runtime_1.5.2-7 libpam0g_1.5.2-7 libpango-1.0-0_1.51.0+ds-2 libpangocairo-1.0-0_1.51.0+ds-2 libpangoft2-1.0-0_1.51.0+ds-2 libpaper-utils_1.1.29 libpaper1_1.1.29 libparams-classify-perl_0.015-2+b1 libparams-util-perl_1.102-2+b1 libpcre2-16-0_10.42-3 libpcre2-32-0_10.42-3 libpcre2-8-0_10.42-3 libpcre2-dev_10.42-3 libpcre2-posix3_10.42-3 libperl5.36_5.36.0-8 libpipeline1_1.5.7-1 libpixman-1-0_0.42.2-1 libpkgconf3_1.8.1-1 libpng-dev_1.6.40-1 libpng16-16_1.6.40-1 libpsl5_0.21.2-1 libquadmath0_13.2.0-2 libreadline-dev_8.2-1.3 libreadline8_8.2-1.3 librtmp1_2.4+20151223.gitfa8646d.1-2+b2 libsasl2-2_2.1.28+dfsg1-3 libsasl2-modules-db_2.1.28+dfsg1-3 libseccomp2_2.5.4-1+b3 libselinux1_3.5-1 libsframe1_2.41-4 libsm6_2:1.2.3-1 libsmartcols1_2.39.2-1 libssh2-1_1.11.0-2 libssl3_3.0.10-1 libstdc++-13-dev_13.2.0-2 libstdc++6_13.2.0-2 libsub-exporter-perl_0.990-1 libsub-exporter-progressive-perl_0.001013-3 libsub-identify-perl_0.14-3 libsub-install-perl_0.929-1 libsub-name-perl_0.27-1 libsub-override-perl_0.09-4 libswitch-perl_2.17-3 libsystemd0_254.1-2 libtasn1-6_4.19.0-3 libtcl8.6_8.6.13+dfsg-2 libtext-glob-perl_0.11-3 libthai-data_0.1.29-1 libthai0_0.1.29-1 libtiff6_4.5.1+git230720-1 libtimedate-perl_2.3300-2 libtinfo6_6.4+20230625-2 libtirpc-common_1.3.3+ds-1 libtirpc-dev_1.3.3+ds-1 libtirpc3_1.3.3+ds-1 libtk8.6_8.6.13-2 libtool_2.4.7-7 libtry-tiny-perl_0.31-2 libtsan2_13.2.0-2 libubsan1_13.2.0-2 libuchardet0_0.0.7-1 libudev1_254.1-2 libunistring2_1.0-2 liburi-perl_5.19-2 libuuid1_2.39.2-1 libvariable-magic-perl_0.63-1+b1 libwebp7_1.2.4-0.2 libwww-curl-perl_4.17-10 libwww-curl-simple-perl_0.100191-3 libx11-6_2:1.8.6-1 libx11-data_2:1.8.6-1 libxau6_1:1.0.9-1 libxcb-render0_1.15-1 libxcb-shm0_1.15-1 libxcb1_1.15-1 libxdmcp6_1:1.1.2-3 libxext6_2:1.3.4-1+b1 libxft2_2.3.6-1 libxml2_2.9.14+dfsg-1.3 libxmuu1_2:1.1.3-3 libxrender1_1:0.9.10-1.1 libxss1_1:1.2.3-1 libxt6_1:1.2.1-1.1 libzstd1_1.5.5+dfsg2-1 linux-libc-dev_6.4.11-1 littler_0.3.18-2 login_1:4.13+dfsg1-1+b1 m4_1.4.19-3 make_4.3-4.1 man-db_2.11.2-3 mawk_1.3.4.20230808-1 ncurses-base_6.4+20230625-2 ncurses-bin_6.4+20230625-2 openssl_3.0.10-1 patch_2.7.6-7 perl_5.36.0-8 perl-base_5.36.0-8 perl-modules-5.36_5.36.0-8 pkg-config_1.8.1-1 pkgconf_1.8.1-1 pkgconf-bin_1.8.1-1 po-debconf_1.0.21+nmu1 r-base-core_4.3.1-4 r-base-dev_4.3.1-4 r-cran-codetools_0.2-19-1 r-cran-foreach_1.5.2-1 r-cran-iterators_1.0.14-1 r-cran-lattice_0.21-8-2 r-cran-littler_0.3.18-2 r-cran-matrix_1.6-1-1 r-cran-pkgkitten_0.2.3-1 r-cran-rcpp_1.0.11-1 r-cran-rcppeigen_0.3.3.9.3-1 r-cran-shape_1.4.6-1 r-cran-survival_3.5-7-1 readline-common_8.2-1.3 rpcsvc-proto_1.4.3-1 sed_4.9-1 sensible-utils_0.0.20 sysvinit-utils_3.07-1 tar_1.34+dfsg-1.2 tzdata_2023c-10 ucf_3.0043+nmu1 unzip_6.0-28 usr-is-merged_35 usrmerge_35 util-linux_2.39.2-1 x11-common_1:7.7+23 xauth_1:1.1.2-1 xdg-utils_1.1.3-4.1 xz-utils_5.4.1-0.2 zip_3.0-13 zlib1g_1:1.2.13.dfsg-3 zlib1g-dev_1:1.2.13.dfsg-3 +------------------------------------------------------------------------------+ | Build Fri, 20 Jun 2025 21:15:59 +0000 | +------------------------------------------------------------------------------+ Unpack source ------------- -----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Format: 3.0 (quilt) Source: r-cran-glmnet Binary: r-cran-glmnet Architecture: any Version: 4.1-8-1 Maintainer: Debian R Packages Maintainers Uploaders: Andreas Tille Homepage: https://cran.r-project.org/package=glmnet Standards-Version: 4.6.2 Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-glmnet Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-glmnet.git Testsuite: autopkgtest-pkg-r Build-Depends: debhelper-compat (= 13), dh-r, r-base-dev, r-cran-matrix, r-cran-foreach, r-cran-shape, r-cran-survival, r-cran-rcpp, r-cran-rcppeigen Package-List: r-cran-glmnet deb gnu-r optional arch=any Checksums-Sha1: 89c68fa5910d9d13c9163873be9b80111f477520 2439515 r-cran-glmnet_4.1-8.orig.tar.gz 4b480e7fac4a6dade86b9b109fb628ba66244fca 3120 r-cran-glmnet_4.1-8-1.debian.tar.xz Checksums-Sha256: 1ddbe5ce07076d1bdf58b0202ebd0ceac8eeb4796c5175681adb9e58c30ddcfe 2439515 r-cran-glmnet_4.1-8.orig.tar.gz da0c619cdbdd97d946cb6d7959384ff7f534fed9548c03415cc882b3c8ab396c 3120 r-cran-glmnet_4.1-8-1.debian.tar.xz Files: 98a316b4857ea3f46b44285dc5764068 2439515 r-cran-glmnet_4.1-8.orig.tar.gz 3e7c17e34eb5aa0e8ee4ff5d807e2c67 3120 r-cran-glmnet_4.1-8-1.debian.tar.xz -----BEGIN PGP SIGNATURE----- iQJFBAEBCAAvFiEE8fAHMgoDVUHwpmPKV4oElNHGRtEFAmToje4RHHRpbGxlQGRl Ymlhbi5vcmcACgkQV4oElNHGRtFTvw/8CiXD4j2nom33y4puwgAwcj7w47MdoA1E lIYf3vMF2TVorvNOfGknjYnqKsp5P/ffk8wkw0cN9Xjfi6LtZXsIhNWu53dcg5my nZ6tj3TKUGOEjEgar4Te9i1Vo8sK5BE6WT5EP4bQ+B4AxTTUN7hvLZmd1cYbGwaL cPHelj7g15dRdv5SN3TweFSKvC3ucjBNcofOdcPU2DeO/OfvLdlm5NUbWoBQPi3/ qn1/wFCen86lx3IE1tF6SLS2/T0NbZJSVw1aSVAv82wuvpDBhh9RtCAXb53T7rtU mBiupXBciZKS5a4X8hkpLrwa+jAr6zfrTcLg9tbtd6LAi8LsMC03lpsP/LuztyuI AG5mSu+9tZm/NpequBhbg47N2J2OTd5t3j+GnA9RAI6kygjMgDJJMr8oGy8WVvER pg91CBrwOlqeN35jo5FnPkFDEk9t3pKOISxZA8HKhu6MhdyAPelmRZc/38BLiAAg 3MBSqeepfwfJc+q+mPaQmyq/zx+fS1faPIuTAcLxIKtJFujR6kXZjMiF8EM55WD8 vyCb9eZHalsB0XF3IyeuAMprxJcF3/OQHNxyZr9AnKS3lGUKtROIycnNnytFkRHh X+3lJzXwiaMKIGakfxGcH80QE5WDAp04djc7XyMfqW7++Fk9LrxyWBnT3lpJvGWu PaoEAhSM/6U= =sIEA -----END PGP SIGNATURE----- dpkg-source: warning: cannot verify inline signature for ./r-cran-glmnet_4.1-8-1.dsc: unsupported subcommand dpkg-source: info: extracting r-cran-glmnet in /build/reproducible-path/r-cran-glmnet-4.1-8 dpkg-source: info: unpacking r-cran-glmnet_4.1-8.orig.tar.gz dpkg-source: info: unpacking r-cran-glmnet_4.1-8-1.debian.tar.xz Install fakeroot ---------------- Setup apt archive ----------------- Merged Build-Depends: fakeroot Filtered Build-Depends: fakeroot dpkg-deb: building package 'sbuild-build-depends-fakeroot-dummy' in '/build/reproducible-path/resolver-ceuMw2/apt_archive/sbuild-build-depends-fakeroot-dummy.deb'. Install fakeroot build dependencies (apt-based resolver) -------------------------------------------------------- Installing build dependencies Check disk space ---------------- Sufficient free space for build +------------------------------------------------------------------------------+ | Starting Timed Build Commands Fri, 20 Jun 2025 21:16:07 +0000 | +------------------------------------------------------------------------------+ grep -iq "^Rules-Requires-Root:" "/build/reproducible-path/r-cran-glmnet-4.1-8/debian/control" || sed -i "1iRules-Requires-Root: no" "/build/reproducible-path/r-cran-glmnet-4.1-8/debian/control" -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- I: Finished running 'grep -iq "^Rules-Requires-Root:" "/build/reproducible-path/r-cran-glmnet-4.1-8/debian/control" || sed -i "1iRules-Requires-Root: no" "/build/reproducible-path/r-cran-glmnet-4.1-8/debian/control"'. Finished processing commands. -------------------------------------------------------------------------------- User Environment ---------------- APT_CONFIG=/var/lib/sbuild/apt.conf DEB_BUILD_OPTIONS=parallel=4 HOME=/sbuild-nonexistent LANG=en_US.UTF-8 LC_ALL=C.UTF-8 LC_COLLATE=C.UTF-8 LOGNAME=sbuild PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games SHELL=/bin/sh SOURCE_DATE_EPOCH=1692962060 USER=sbuild dpkg-buildpackage ----------------- Command: dpkg-buildpackage --sanitize-env -us -uc -B dpkg-buildpackage: info: source package r-cran-glmnet dpkg-buildpackage: info: source version 4.1-8-1 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Andreas Tille dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 debian/rules clean dh clean --buildsystem R dh_auto_clean -O--buildsystem=R dh_autoreconf_clean -O--buildsystem=R dh_clean -O--buildsystem=R debian/rules binary-arch dh binary-arch --buildsystem R dh_update_autotools_config -a -O--buildsystem=R dh_autoreconf -a -O--buildsystem=R dh_auto_configure -a -O--buildsystem=R dh_auto_build -a -O--buildsystem=R dh_auto_test -a -O--buildsystem=R create-stamp debian/debhelper-build-stamp dh_testroot -a -O--buildsystem=R dh_prep -a -O--buildsystem=R dh_auto_install --destdir=debian/r-cran-glmnet/ -a -O--buildsystem=R I: R Package: glmnet Version: 4.1-8 I: Building using R version 4.3.1-4 I: R API version: r-api-4.0 I: Using built-time from d/changelog: Fri, 25 Aug 2023 13:14:20 +0200 mkdir -p /build/reproducible-path/r-cran-glmnet-4.1-8/debian/r-cran-glmnet/usr/lib/R/site-library R CMD INSTALL -l /build/reproducible-path/r-cran-glmnet-4.1-8/debian/r-cran-glmnet/usr/lib/R/site-library --clean . "--built-timestamp='Fri, 25 Aug 2023 13:14:20 +0200'" * installing *source* package ‘glmnet’ ... ** package ‘glmnet’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Debian 13.2.0-2) 13.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 13.2.0-2) 13.2.0’ using C++ compiler: ‘g++ (Debian 13.2.0-2) 13.2.0’ using C++17 make[1]: Entering directory '/build/reproducible-path/r-cran-glmnet-4.1-8/src' g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/usr/lib/R/site-library/RcppEigen/include' -I'/usr/lib/R/site-library/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/reproducible-path/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:397, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/RcppEigen/include/RcppEigenForward.h:30, from /usr/lib/R/site-library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:377: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:370: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:439: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/RcppEigen/include/RcppEigenForward.h:31: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter, 0, Eigen::Stride<0, 0> > >’ RcppExports.cpp:25:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ /usr/lib/R/site-library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:26:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ /usr/lib/R/site-library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:26:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ /usr/lib/R/site-library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:26:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ RcppExports.cpp:47:170: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ RcppExports.cpp:47:170: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ /usr/lib/R/site-library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:59:98: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ /usr/lib/R/site-library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:59:98: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ /usr/lib/R/site-library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:59:98: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ gfortran -fpic -g -O2 -ffile-prefix-map=/build/reproducible-path/r-base-4.3.1=. -fstack-protector-strong -c coxnet5dpclean.f -o coxnet5dpclean.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/usr/lib/R/site-library/RcppEigen/include' -I'/usr/lib/R/site-library/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/reproducible-path/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c elnet_exp.cpp -o elnet_exp.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:397, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/RcppEigen/include/RcppEigenForward.h:30, from /usr/lib/R/site-library/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:377: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:370: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:439: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/RcppEigen/include/RcppEigenForward.h:31: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ elnet_exp.cpp:44:5: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ elnet_exp.cpp:44:5: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ elnet_exp.cpp:98:5: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ elnet_exp.cpp:98:5: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ elnet_exp.cpp:98:5: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:27: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:30: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:33: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/base.hpp:12:36: required from ‘void glmnetpp::ElnetDriverBase::normalize_penalty(VType&&) const [with VType = Eigen::Matrix&]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:402:36: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:34: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:42: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:36: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:33: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:42: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:52:26: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:56: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:41: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:48: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:35: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:430:16: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:31: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:29: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:55: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:44: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:53: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true>, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:276:41: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:48: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:57: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:399:49: required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:445: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from ‘bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from ‘bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:478:43: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:37: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from ‘static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:343:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from ‘auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:344:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from ‘auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:96:31: required from ‘struct glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:159:16: required from ‘auto glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from ‘static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:296:29: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:176:22: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:34: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:45: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:29: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:36: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:31: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:52: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:16: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:28: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:34: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:27: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::Map >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:514:129: required from ‘Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>::InnerVectorInnerIterator::InnerVectorInnerIterator(const Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>&, Eigen::Index) [with ArgType = const Eigen::Map >; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true; typename Eigen::Block::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:30:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 1, -1, false> >; Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:47: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:50: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:82:44: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:88:40: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:86:50: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:58: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:41: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:86: required from ‘auto glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::prediction() const [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_base.hpp:140:40: required from ‘void glmnetpp::ElnetPathPoissonBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:22: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:38: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:29: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:41: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:47: required from ‘static typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::compute_xv(const XType&, const WType&) [with XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:71:52: required from ‘glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:336:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:22: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:31: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:37: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:23: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:35: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:54: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:47: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:27: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:50: required from ‘void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from ‘glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:59: required from ‘void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from ‘glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:55: required from ‘typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:73:51: required from ‘glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, ISType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Matrix; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ISType = Eigen::Matrix; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:394:38: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialMultiClassBase::process_point_fit(const FitPackType&, PathConfigPackType&&, PointConfigPackType&&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = PointConfigPack&; PathConfigPackType = PathConfigPack&; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1402:44: required from ‘typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:76:62: required from ‘glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:68: required from ‘typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_grad(typename base_t::index_t, const RType&, const VType&) const [with RType = Eigen::Matrix; VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:77:64: required from ‘glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:130:48: required from ‘typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:163:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:136:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:139:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:137:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:168:65: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:66: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:78: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:84: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:169:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from ‘static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:478:43: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:568:53: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:354:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:46: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from ‘static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:65: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(typename base_t::index_t, RType&&) [with RType = Eigen::Block, -1, 1, true>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1166:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:589:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 1, -1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:39: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:45: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:54: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:661:34: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:65: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:47: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:48: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:51: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:79: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:605:60: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:55: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:37: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:65: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:37: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:44: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:26: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:39: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:57: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:47: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:77: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:83: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:53: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:79: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:85: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:113:48: required from ‘glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:43 = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1381:42: required from ‘void glmnetpp::SpElnetPointInternalBinomialBase::update_with_new_weights(typename base_t::index_t, const VType&, typename base_t::index_t, typename base_t::value_t, typename base_t::value_t&) [with VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:121:55: required from ‘void glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:137:50: required from ‘glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:50 = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:101:54: required from ‘glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&):::: [with auto:65 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; SkipPolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:100:51: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:38: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:37: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:40: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:55: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: required from ‘typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:68:81: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:643:34: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:645:81: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:65: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:648:53: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1007:53: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: required from ‘glmnetpp::ElnetPointInternalBinomialMultiClassBase::update_irls::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, auto:42&)>, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, auto:42&)>, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>):: [with auto:34 = int]’ /usr/include/c++/13/bits/stl_algo.h:3833:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:49: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:51: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:59: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:84:33: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:39:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, 1, -1, false>, 1, -1, false>; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::Map >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::Map >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:514:129: required from ‘Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>::InnerVectorInnerIterator::InnerVectorInnerIterator(const Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>&, Eigen::Index) [with ArgType = const Eigen::Map >; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true; typename Eigen::Block::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:30:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:51: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:531:48: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&, typename base_t::value_t) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:546:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:155:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:156:37: required from ‘void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, DestType&&) const [with DestType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:162:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from ‘glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:55: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:85: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from ‘typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:38: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:88:35: required from ‘static auto glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::compute_sp_cov(const X1Type&, const X2Type&, const WType&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianCovBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:65:42: required from ‘void glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::update_active(typename base_t::index_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianCovBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:81:44: required from ‘glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:101:57: required from ‘void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:45: required from ‘void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:72: required from ‘void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> > >; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1208:43: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from ‘glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:127:53: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:82:43: required from ‘void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:140:39: required from ‘void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:55: required from ‘void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:142:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:322:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:405:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:89:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:219:37: required from ‘static constexpr bool glmnetpp::ElnetPointInternalStaticBase::equal(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T1 = Eigen::Matrix; T2 = Eigen::Transpose, 1, -1, false> >; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:75:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:80:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:91:43: required from ‘void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> > >; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/binomial_multi_class_group.hpp:34:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:138:39: required from ‘void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:570:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:92: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from ‘typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:499: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1024>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:194:60: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int ProductType = 7; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:194:83: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:66: required from ‘void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_dlx(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:87:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_cov.hpp:55:65: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Transpose, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:703:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:371: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/usr/lib/R/site-library/RcppEigen/include' -I'/usr/lib/R/site-library/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/reproducible-path/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c glmnet_init.cpp -o glmnet_init.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/usr/lib/R/site-library/RcppEigen/include' -I'/usr/lib/R/site-library/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/reproducible-path/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c internal.cpp -o internal.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:397, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/RcppEigen/include/RcppEigenForward.h:30, from /usr/lib/R/site-library/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:377: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:370: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:439: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/RcppEigen/include/RcppEigenForward.h:31: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] gcc -I"/usr/share/R/include" -DNDEBUG -I'/usr/lib/R/site-library/RcppEigen/include' -I'/usr/lib/R/site-library/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/reproducible-path/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c pb.c -o pb.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/usr/lib/R/site-library/RcppEigen/include' -I'/usr/lib/R/site-library/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/reproducible-path/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c pb_exp.cpp -o pb_exp.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/usr/lib/R/site-library/RcppEigen/include' -I'/usr/lib/R/site-library/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/reproducible-path/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c wls_exp.cpp -o wls_exp.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:397, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/RcppEigen/include/RcppEigenForward.h:30, from /usr/lib/R/site-library/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:377: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:370: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:439: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/RcppEigen/include/RcppEigenForward.h:31: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ wls_exp.cpp:40:5: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ wls_exp.cpp:40:5: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from ‘struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >’ wls_exp.cpp:52:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from ‘struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >’ wls_exp.cpp:52:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from ‘struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >’ wls_exp.cpp:52:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ wls_exp.cpp:113:5: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ wls_exp.cpp:113:5: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ wls_exp.cpp:113:5: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:150:32: required from ‘struct glmnetpp::SpElnetPointInternal::type::wls, double, int, int>’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >’ glmnetpp/include/glmnetpp_bits/elnet_point/sp_gaussian_wls.hpp:7:8: required from ‘struct glmnetpp::SpElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >’ wls_exp.cpp:125:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:22: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:31: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:40: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:49: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:28: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:44: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:478:43: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:336:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:445: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:409:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:336:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from ‘static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:83:33: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:94:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from ‘auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from ‘void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from ‘auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from ‘void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:23: required from ‘void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:128:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: required from ‘void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:128:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:92:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:109:39: required from ‘void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:128:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from ‘static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from ‘Eigen::CwiseBinaryOpImpl::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = const Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:105:49: required from ‘Eigen::CwiseBinaryOp::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op; LhsType = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; RhsType = const Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:693:62: required from ‘const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType::Type Eigen::SparseMatrixBase::cwiseProduct(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename CwiseProductDenseReturnType::Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:128:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:514:129: required from ‘Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>::InnerVectorInnerIterator::InnerVectorInnerIterator(const Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>&, Eigen::Index) [with ArgType = const Eigen::Map, 0, Eigen::Stride<0, 0> >; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true; typename Eigen::Block::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:30:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:134:42: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map >; Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:128:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-z,relro -o glmnet.so RcppExports.o coxnet5dpclean.o elnet_exp.o glmnet_init.o internal.o pb.o pb_exp.o wls_exp.o -lgfortran -lm -lquadmath -L/usr/lib/R/lib -lR make[1]: Leaving directory '/build/reproducible-path/r-cran-glmnet-4.1-8/src' make[1]: Entering directory '/build/reproducible-path/r-cran-glmnet-4.1-8/src' make[1]: Leaving directory '/build/reproducible-path/r-cran-glmnet-4.1-8/src' installing to /build/reproducible-path/r-cran-glmnet-4.1-8/debian/r-cran-glmnet/usr/lib/R/site-library/00LOCK-r-cran-glmnet-4.1-8/00new/glmnet/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmnet) /bin/sh: 1: apt-cache: not found grep-aptavail: command (apt-cache dumpavail) failed (exit status 127) Use of uninitialized value $dep_line in substitution (s///) at /usr/share/perl5/Dpkg/Deps.pm line 300. Use of uninitialized value $dep_line in substitution (s///) at /usr/share/perl5/Dpkg/Deps.pm line 302. Use of uninitialized value $dep_line in substitution (s///) at /usr/share/perl5/Dpkg/Deps.pm line 303. Use of uninitialized value $dep_line in split at /usr/share/perl5/Dpkg/Deps.pm line 306. W: Ignoring specified R dependency: R (>= 3.6.0) I: Using r-cran-matrix for Depends:Matrix (>= 1.0-6) W: Cannot find a debian package for Suggests:knitr W: Cannot find a debian package for Suggests:lars W: Cannot find a debian package for Suggests:testthat W: Cannot find a debian package for Suggests:xfun W: Cannot find a debian package for Suggests:rmarkdown I: Using r-cran-foreach for Imports:foreach I: Using r-cran-shape for Imports:shape I: Using r-cran-survival for Imports:survival I: Using r-cran-rcpp for Imports:Rcpp I: Using r-cran-rcppeigen for LinkingTo:RcppEigen I: Using r-cran-rcpp for LinkingTo:Rcpp I: Use r-cran-glmnet as Debian binary package for variables substitution dh_installdocs -a -O--buildsystem=R dh_installchangelogs -a -O--buildsystem=R dh_installsystemduser -a -O--buildsystem=R dh_perl -a -O--buildsystem=R dh_link -a -O--buildsystem=R dh_strip_nondeterminism -a -O--buildsystem=R dh_compress -a -O--buildsystem=R dh_fixperms -a -O--buildsystem=R dh_missing -a -O--buildsystem=R dh_dwz -a -O--buildsystem=R dh_strip -a -O--buildsystem=R dh_makeshlibs -a -O--buildsystem=R dh_shlibdeps -a -O--buildsystem=R dh_installdeb -a -O--buildsystem=R dh_gencontrol -a -O--buildsystem=R dh_md5sums -a -O--buildsystem=R dh_builddeb -a -O--buildsystem=R dpkg-deb: building package 'r-cran-glmnet' in '../r-cran-glmnet_4.1-8-1_amd64.deb'. dpkg-deb: building package 'r-cran-glmnet-dbgsym' in '../r-cran-glmnet-dbgsym_4.1-8-1_amd64.deb'. dpkg-genbuildinfo --build=any -O../r-cran-glmnet_4.1-8-1_amd64.buildinfo dpkg-genchanges --build=any -O../r-cran-glmnet_4.1-8-1_amd64.changes dpkg-genchanges: info: binary-only arch-specific upload (source code and arch-indep packages not included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) -------------------------------------------------------------------------------- Build finished at 2025-06-20T21:17:52Z Finished -------- I: Built successfully +------------------------------------------------------------------------------+ | Changes Fri, 20 Jun 2025 21:17:52 +0000 | +------------------------------------------------------------------------------+ r-cran-glmnet_4.1-8-1_amd64.changes: ------------------------------------ Format: 1.8 Date: Fri, 25 Aug 2023 13:14:20 +0200 Source: r-cran-glmnet Binary: r-cran-glmnet r-cran-glmnet-dbgsym Architecture: amd64 Version: 4.1-8-1 Distribution: unstable Urgency: medium Maintainer: Debian R Packages Maintainers Changed-By: Andreas Tille Description: r-cran-glmnet - Lasso and Elastic-Net Regularized Generalized Linear Models Changes: r-cran-glmnet (4.1-8-1) unstable; urgency=medium . * New upstream version Checksums-Sha1: a444ce14fb2e6163c3f061245554a24a3013e982 8334904 r-cran-glmnet-dbgsym_4.1-8-1_amd64.deb 6901ee6714778825459e0ec5e8cbc55c0cdbb1c3 9981 r-cran-glmnet_4.1-8-1_amd64.buildinfo ae2e4cac2c3b349c946c1a07670afdc0e7fd744b 1925736 r-cran-glmnet_4.1-8-1_amd64.deb Checksums-Sha256: 281a6a9e408e2ba49b0050595c8e10b7e5f040e4463e7ac2bf5d4d67d42b67b5 8334904 r-cran-glmnet-dbgsym_4.1-8-1_amd64.deb a498c4e593ac987c724c22966b17015f1284a2b22fa6aa6d64698bc9e6f2b4d4 9981 r-cran-glmnet_4.1-8-1_amd64.buildinfo 578bc4e2f16703fd468f02951cd57d6cdf8431d83d03e818258624dfc924f6ea 1925736 r-cran-glmnet_4.1-8-1_amd64.deb Files: be692bc5c5b38d7e5cc02c46e3ab3170 8334904 debug optional r-cran-glmnet-dbgsym_4.1-8-1_amd64.deb 502fbb6ebc04a5e3ab471c102ee681c4 9981 gnu-r optional r-cran-glmnet_4.1-8-1_amd64.buildinfo ff8414a306fd338359f0410c9e5e4326 1925736 gnu-r optional r-cran-glmnet_4.1-8-1_amd64.deb +------------------------------------------------------------------------------+ | Buildinfo Fri, 20 Jun 2025 21:17:53 +0000 | +------------------------------------------------------------------------------+ Format: 1.0 Source: r-cran-glmnet Binary: r-cran-glmnet r-cran-glmnet-dbgsym Architecture: amd64 Version: 4.1-8-1 Checksums-Md5: be692bc5c5b38d7e5cc02c46e3ab3170 8334904 r-cran-glmnet-dbgsym_4.1-8-1_amd64.deb ff8414a306fd338359f0410c9e5e4326 1925736 r-cran-glmnet_4.1-8-1_amd64.deb Checksums-Sha1: a444ce14fb2e6163c3f061245554a24a3013e982 8334904 r-cran-glmnet-dbgsym_4.1-8-1_amd64.deb ae2e4cac2c3b349c946c1a07670afdc0e7fd744b 1925736 r-cran-glmnet_4.1-8-1_amd64.deb Checksums-Sha256: 281a6a9e408e2ba49b0050595c8e10b7e5f040e4463e7ac2bf5d4d67d42b67b5 8334904 r-cran-glmnet-dbgsym_4.1-8-1_amd64.deb 578bc4e2f16703fd468f02951cd57d6cdf8431d83d03e818258624dfc924f6ea 1925736 r-cran-glmnet_4.1-8-1_amd64.deb Build-Origin: Debian Build-Architecture: amd64 Build-Date: Fri, 20 Jun 2025 21:17:51 +0000 Build-Path: /build/reproducible-path/r-cran-glmnet-4.1-8 Build-Tainted-By: merged-usr-via-aliased-dirs Installed-Build-Depends: autoconf (= 2.71-3), automake (= 1:1.16.5-1.3), autopoint (= 0.21-13), autotools-dev (= 20220109.1), base-files (= 13), base-passwd (= 3.6.1), bash (= 5.2.15-2+b4), binutils (= 2.41-4), binutils-common (= 2.41-4), binutils-x86-64-linux-gnu (= 2.41-4), bsdextrautils (= 2.39.2-1), bsdutils (= 1:2.39.2-1), build-essential (= 12.10), bzip2 (= 1.0.8-5+b1), ca-certificates (= 20230311), coreutils (= 9.1-1), cpp (= 4:13.2.0-1), cpp-13 (= 13.2.0-2), dash (= 0.5.12-6), dctrl-tools (= 2.24-3+b1), debconf (= 1.5.82), debhelper (= 13.11.5), debianutils (= 5.8-1), dh-autoreconf (= 20), dh-r (= 20230722), dh-strip-nondeterminism (= 1.13.1-1), diffutils (= 1:3.8-4), dpkg (= 1.21.22), dpkg-dev (= 1.21.22), dwz (= 0.15-1), file (= 1:5.44-3), findutils (= 4.9.0-5), fontconfig (= 2.14.2-4), fontconfig-config (= 2.14.2-4), fonts-noto-core (= 20201225-2), fonts-noto-mono (= 20201225-2), g++ (= 4:13.2.0-1), g++-13 (= 13.2.0-2), gcc (= 4:13.2.0-1), gcc-13 (= 13.2.0-2), gcc-13-base (= 13.2.0-2), gettext (= 0.21-13), gettext-base (= 0.21-13), gfortran (= 4:13.2.0-1), gfortran-13 (= 13.2.0-2), grep (= 3.11-3), groff-base (= 1.23.0-2), gzip (= 1.12-1), hostname (= 3.23+nmu1), icu-devtools (= 72.1-3), init-system-helpers (= 1.65.2), intltool-debian (= 0.35.0+20060710.6), libacl1 (= 2.3.1-3), libalgorithm-c3-perl (= 0.11-2), libarchive-zip-perl (= 1.68-1), libasan8 (= 13.2.0-2), libatomic1 (= 13.2.0-2), libattr1 (= 1:2.5.1-4), libaudit-common (= 1:3.1.1-1), libaudit1 (= 1:3.1.1-1), libb-hooks-endofscope-perl (= 0.26-1), libb-hooks-op-check-perl (= 0.22-2+b1), libbinutils (= 2.41-4), libblas-dev (= 3.11.0-2), libblas3 (= 3.11.0-2), libblkid1 (= 2.39.2-1), libbrotli1 (= 1.0.9-2+b6), libbsd0 (= 0.11.7-4), libbz2-1.0 (= 1.0.8-5+b1), libbz2-dev (= 1.0.8-5+b1), libc-bin (= 2.37-7), libc-dev-bin (= 2.37-7), libc6 (= 2.37-7), libc6-dev (= 2.37-7), libcairo2 (= 1.16.0-7), libcap-ng0 (= 0.8.3-1+b3), libcap2 (= 1:2.66-4), libcc1-0 (= 13.2.0-2), libclass-c3-perl (= 0.35-2), libclass-load-perl (= 0.25-2), libclass-load-xs-perl (= 0.10-2+b1), libclone-perl (= 0.46-1), libcom-err2 (= 1.47.0-2), libcrypt-dev (= 1:4.4.36-2), libcrypt1 (= 1:4.4.36-2), libctf-nobfd0 (= 2.41-4), libctf0 (= 2.41-4), libcurl3-gnutls (= 8.2.1-1), libcurl4 (= 8.2.1-1), libdata-optlist-perl (= 0.114-1), libdatrie1 (= 0.2.13-2+b1), libdb5.3 (= 5.3.28+dfsg2-2), libdebconfclient0 (= 0.270), libdebhelper-perl (= 13.11.5), libdeflate0 (= 1.18-1), libdevel-callchecker-perl (= 0.008-2), libdevel-globaldestruction-perl (= 0.14-4), libdevel-overloadinfo-perl (= 0.007-1), libdevel-stacktrace-perl (= 2.0400-2), libdist-checkconflicts-perl (= 0.11-2), libdpkg-perl (= 1.21.22), libdynaloader-functions-perl (= 0.003-3), libelf1 (= 0.189-4), libencode-locale-perl (= 1.05-3), libeval-closure-perl (= 0.14-3), libexpat1 (= 2.5.0-2), libffi8 (= 3.4.4-1), libfile-find-rule-perl (= 0.34-3), libfile-stripnondeterminism-perl (= 1.13.1-1), libfile-which-perl (= 1.27-2), libfontconfig1 (= 2.14.2-4), libfreetype6 (= 2.13.1+dfsg-1), libfribidi0 (= 1.0.13-3), libgcc-13-dev (= 13.2.0-2), libgcc-s1 (= 13.2.0-2), libgcrypt20 (= 1.10.2-2), libgdbm-compat4 (= 1.23-3), libgdbm6 (= 1.23-3), libgfortran-13-dev (= 13.2.0-2), libgfortran5 (= 13.2.0-2), libglib2.0-0 (= 2.77.2-1), libgmp10 (= 2:6.3.0+dfsg-2), libgnutls30 (= 3.8.1-4), libgomp1 (= 13.2.0-2), libgpg-error0 (= 1.47-2), libgprofng0 (= 2.41-4), libgraphite2-3 (= 1.3.14-1), libgssapi-krb5-2 (= 1.20.1-3), libharfbuzz0b (= 8.0.1-1), libhogweed6 (= 3.9.1-2), libhttp-date-perl (= 6.05-2), libhttp-message-perl (= 6.44-2), libhwasan0 (= 13.2.0-2), libice6 (= 2:1.0.10-1), libicu-dev (= 72.1-3), libicu72 (= 72.1-3), libidn2-0 (= 2.3.4-1), libio-html-perl (= 1.004-3), libisl23 (= 0.26-3), libitm1 (= 13.2.0-2), libjansson4 (= 2.14-2), libjbig0 (= 2.1-6.1), libjpeg-dev (= 1:2.1.5-2), libjpeg62-turbo (= 1:2.1.5-2), libjpeg62-turbo-dev (= 1:2.1.5-2), libk5crypto3 (= 1.20.1-3), libkeyutils1 (= 1.6.3-2), libkrb5-3 (= 1.20.1-3), libkrb5support0 (= 1.20.1-3), liblapack-dev (= 3.11.0-2), liblapack3 (= 3.11.0-2), libldap-2.5-0 (= 2.5.13+dfsg-5), liblerc4 (= 4.0.0+ds-2), liblsan0 (= 13.2.0-2), liblwp-mediatypes-perl (= 6.04-2), liblz4-1 (= 1.9.4-1), liblzma-dev (= 5.4.1-0.2), liblzma5 (= 5.4.1-0.2), libmagic-mgc (= 1:5.44-3), libmagic1 (= 1:5.44-3), libmd0 (= 1.1.0-1), libmodule-implementation-perl (= 0.09-2), libmodule-runtime-conflicts-perl (= 0.003-2), libmodule-runtime-perl (= 0.016-2), libmoose-perl (= 2.2206-1), libmount1 (= 2.39.2-1), libmpc3 (= 1.3.1-1), libmpfr6 (= 4.2.0-1), libmro-compat-perl (= 0.15-2), libnamespace-clean-perl (= 0.27-2), libncurses-dev (= 6.4+20230625-2), libncurses6 (= 6.4+20230625-2), libncursesw6 (= 6.4+20230625-2), libnettle8 (= 3.9.1-2), libnghttp2-14 (= 1.55.1-1), libnsl-dev (= 1.3.0-2), libnsl2 (= 1.3.0-2), libnumber-compare-perl (= 0.03-3), libp11-kit0 (= 0.25.0-4), libpackage-deprecationmanager-perl (= 0.18-1), libpackage-stash-perl (= 0.40-1), libpackage-stash-xs-perl (= 0.30-1+b1), libpam-modules (= 1.5.2-7), libpam-modules-bin (= 1.5.2-7), libpam-runtime (= 1.5.2-7), libpam0g (= 1.5.2-7), libpango-1.0-0 (= 1.51.0+ds-2), libpangocairo-1.0-0 (= 1.51.0+ds-2), libpangoft2-1.0-0 (= 1.51.0+ds-2), libpaper-utils (= 1.1.29), libpaper1 (= 1.1.29), libparams-classify-perl (= 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------------------------------- new Debian package, version 2.0. size 1925736 bytes: control archive=2252 bytes. 950 bytes, 16 lines control 4112 bytes, 51 lines md5sums Package: r-cran-glmnet Version: 4.1-8-1 Architecture: amd64 Maintainer: Debian R Packages Maintainers Installed-Size: 2484 Depends: r-api-4.0, r-cran-matrix (>= 1.0-6), r-cran-foreach, r-cran-shape, r-cran-survival, r-cran-rcpp, r-cran-rcppeigen, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgfortran5 (>= 8), libstdc++6 (>= 13.1), libjs-mathjax Section: gnu-r Priority: optional Homepage: https://cran.r-project.org/package=glmnet Description: Lasso and Elastic-Net Regularized Generalized Linear Models Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial. 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+------------------------------------------------------------------------------+ Build Architecture: amd64 Build Type: any Build-Space: 26780 Build-Time: 105 Distribution: unstable Host Architecture: amd64 Install-Time: 5 Job: /srv/rebuilderd/tmp/rebuilderdhnbgN8/inputs/r-cran-glmnet_4.1-8-1.dsc Machine Architecture: amd64 Package: r-cran-glmnet Package-Time: 128 Source-Version: 4.1-8-1 Space: 26780 Status: successful Version: 4.1-8-1 -------------------------------------------------------------------------------- Finished at 2025-06-20T21:17:52Z Build needed 00:02:08, 26780k disk space build artifacts stored in /srv/rebuilderd/tmp/rebuilderdhnbgN8/out checking r-cran-glmnet-dbgsym_4.1-8-1_amd64.deb: size... md5... sha256... sha1... all OK checking r-cran-glmnet_4.1-8-1_amd64.deb: size differs for r-cran-glmnet_4.1-8-1_amd64.deb