--- /tmp/rebuilderdNcEbqK/inputs/r-cran-cutpointr_1.2.0-1_riscv64.deb +++ /tmp/rebuilderdNcEbqK/out/r-cran-cutpointr_1.2.0-1_riscv64.deb ├── file list │ @@ -1,3 +1,3 @@ │ -rw-r--r-- 0 0 0 4 2025-01-20 06:46:03.000000 debian-binary │ --rw-r--r-- 0 0 0 2960 2025-01-20 06:46:03.000000 control.tar.xz │ +-rw-r--r-- 0 0 0 2888 2025-01-20 06:46:03.000000 control.tar.xz │ -rw-r--r-- 0 0 0 778544 2025-01-20 06:46:03.000000 data.tar.xz ├── control.tar.xz │ ├── control.tar │ │ ├── file list │ │ │ @@ -1,3 +1,3 @@ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2025-01-20 06:46:03.000000 ./ │ │ │ --rw-r--r-- 0 root (0) root (0) 1460 2025-01-20 06:46:03.000000 ./control │ │ │ +-rw-r--r-- 0 root (0) root (0) 1233 2025-01-20 06:46:03.000000 ./control │ │ │ -rw-r--r-- 0 root (0) root (0) 7091 2025-01-20 06:46:03.000000 ./md5sums │ │ ├── ./control │ │ │ @@ -1,14 +1,14 @@ │ │ │ Package: r-cran-cutpointr │ │ │ Version: 1.2.0-1 │ │ │ Architecture: riscv64 │ │ │ Maintainer: Debian R Packages Maintainers │ │ │ Installed-Size: 1244 │ │ │ Depends: r-api-4.0, r-cran-gridextra (>= 2.2.1), r-cran-foreach (>= 1.4.3), r-cran-dplyr (>= 0.8.0), r-cran-tidyselect (>= 1.1.0), r-cran-tidyr (>= 1.0.0), r-cran-purrr (>= 0.3.0), r-cran-tibble (>= 3.0.0), r-cran-ggplot2 (>= 3.0.0), r-cran-rcpp (>= 0.12.12), r-cran-rlang (>= 0.4.0), libc6 (>= 2.27), libgcc-s1 (>= 3.0), libstdc++6 (>= 14) │ │ │ -Recommends: r-cran-kernsmooth (>= 2.23-15), r-cran-fancova (>= 0.5-1), r-cran-testthat (>= 1.0.2), r-cran-dorng (>= 1.6), r-cran-doparallel (>= 1.0.11), r-cran-knitr, r-cran-rmarkdown, r-cran-mgcv (>= 1.8), r-cran-crayon (>= 1.3.4), r-cran-registry (>= 0.5-1), r-cran-vctrs (>= 0.2.4) │ │ │ +Recommends: r-cran-mgcv (>= 1.8), r-cran-vctrs (>= 0.2.4) │ │ │ Section: gnu-r │ │ │ Priority: optional │ │ │ Homepage: https://cran.r-project.org/package=cutpointr │ │ │ Description: GNU R determine and evaluate optimal cutpoints in binary │ │ │ Classification Tasks Estimate cutpoints that optimize a specified │ │ │ metric in binary classification tasks and validate performance │ │ │ using bootstrapping. Some methods for more robust cutpoint