--- /srv/rebuilderd/tmp/rebuilderdWMuVdP/inputs/r-cran-emmeans_1.10.7+dfsg-1_all.deb
+++ /srv/rebuilderd/tmp/rebuilderdWMuVdP/out/r-cran-emmeans_1.10.7+dfsg-1_all.deb
├── file list
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│  -rw-r--r--   0        0        0        4 2025-02-03 00:51:52.000000 debian-binary
│ --rw-r--r--   0        0        0     3192 2025-02-03 00:51:52.000000 control.tar.xz
│ +-rw-r--r--   0        0        0     3044 2025-02-03 00:51:52.000000 control.tar.xz
│  -rw-r--r--   0        0        0  1663712 2025-02-03 00:51:52.000000 data.tar.xz
├── control.tar.xz
│ ├── control.tar
│ │ ├── file list
│ │ │ @@ -1,3 +1,3 @@
│ │ │  drwxr-xr-x   0 root         (0) root         (0)        0 2025-02-03 00:51:52.000000 ./
│ │ │ --rw-r--r--   0 root         (0) root         (0)     1362 2025-02-03 00:51:52.000000 ./control
│ │ │ +-rw-r--r--   0 root         (0) root         (0)      915 2025-02-03 00:51:52.000000 ./control
│ │ │  -rw-r--r--   0 root         (0) root         (0)     6778 2025-02-03 00:51:52.000000 ./md5sums
│ │ ├── ./control
│ │ │ @@ -1,14 +1,13 @@
│ │ │  Package: r-cran-emmeans
│ │ │  Version: 1.10.7+dfsg-1
│ │ │  Architecture: all
│ │ │  Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
│ │ │  Installed-Size: 2143
│ │ │  Depends: r-api-4.0, r-cran-estimability (>= 1.4.1), r-cran-numderiv, r-cran-mvtnorm
│ │ │ -Recommends: r-cran-bayesplot, r-cran-bayestestr, r-cran-brms, r-cran-car, r-cran-coda (>= 0.17), r-cran-ggplot2, r-cran-lattice, r-cran-logspline, r-cran-mgcv, r-cran-multcomp, r-cran-multcompview, r-cran-nlme, r-cran-ordinal (>= 2014.11-12), r-cran-pbkrtest (>= 0.4-1), r-cran-lme4, r-cran-lmertest (>= 2.0.32), r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-sandwich, r-cran-scales, r-cran-testthat, r-cran-tibble, r-cran-xtable (>= 1.8-2)
│ │ │  Section: gnu-r
│ │ │  Priority: optional
│ │ │  Homepage: https://cran.r-project.org/package=emmeans
│ │ │  Description: GNU R estimated marginal means, aka least-squares means
│ │ │   Obtain estimated marginal means (EMMs) for many linear, generalized
│ │ │   linear, and mixed models. Compute contrasts or linear functions of EMMs,
│ │ │   trends, and comparisons of slopes. Plots and compact letter displays.