How to Install and Uninstall r-cran-afex Package on Ubuntu 23.10 (Mantic Minotaur)

Last updated: May 13,2024

1. Install "r-cran-afex" package

Please follow the instructions below to install r-cran-afex on Ubuntu 23.10 (Mantic Minotaur)

$ sudo apt update $ sudo apt install r-cran-afex

2. Uninstall "r-cran-afex" package

This guide let you learn how to uninstall r-cran-afex on Ubuntu 23.10 (Mantic Minotaur):

$ sudo apt remove r-cran-afex $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-afex package on Ubuntu 23.10 (Mantic Minotaur)

Package: r-cran-afex
Architecture: all
Version: 1.3-0-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 5939
Depends: r-base-core (>= 4.3.0-1), r-api-4.0, r-cran-lme4 (>= 1.1-8), r-cran-pbkrtest (>= 0.4-1), r-cran-lmertest (>= 3.0-0), r-cran-car, r-cran-reshape2
Recommends: r-cran-testthat, r-cran-dplyr, r-cran-mlmrev, r-cran-foreign, r-cran-emmeans, r-cran-ggbeeswarm, r-cran-psychtools
Suggests: r-cran-coin, r-cran-xtable, r-cran-plyr, r-cran-optimx, r-cran-nloptr, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-lattice, r-cran-latticeextra, r-cran-multcomp, r-cran-tidyr, r-cran-dfoptim, r-cran-matrix, r-cran-ggplot2, r-cran-effects, r-cran-cardata, r-cran-nlme, r-cran-cowplot, r-cran-ggpubr, r-cran-mass, r-cran-glmmtmb, r-cran-brms, r-cran-rstanarm, r-cran-statmod, r-cran-performance (>= 0.7.2), r-cran-vdiffr
Filename: pool/universe/r/r-cran-afex/r-cran-afex_1.3-0-1_all.deb
Size: 3693450
MD5sum: ec6d7d47cb30f9bf3a2e7bfe0749924d
SHA1: 786b36e14ad0c9dfe8b3ba0b4628b77ca8ad84b5
SHA256: f26f3dfb67a4cee1c042f7712b08e3ec6f762ad642c41baa670f04b9c908bc5d
SHA512: 01f8be7f955b8daa674ef9f82a9ed24c1b20d0f66cc7c6d8d41b493c5f150932f49e6b8ff38befe615a5947417c8a43f845fd12c1b5b51925e67e3d90f71c73f
Homepage: https://cran.r-project.org/package=afex
Description: GNU R package for analyzing factorial experiments using ANOVA or mixed models
Description-md5: b3d7e3b67c0c13c3aeb5152953b803e5