How to Install and Uninstall r-cran-afex Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: November 26,2024

1. Install "r-cran-afex" package

This is a short guide on how to install r-cran-afex on Ubuntu 22.10 (Kinetic Kudu)

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

2. Uninstall "r-cran-afex" package

In this section, we are going to explain the necessary steps to uninstall r-cran-afex on Ubuntu 22.10 (Kinetic Kudu):

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

3. Information about the r-cran-afex package on Ubuntu 22.10 (Kinetic Kudu)

Package: r-cran-afex
Architecture: all
Version: 1.1-1-1
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: 4121
Depends: r-base-core (>= 4.1.2-1ubuntu3), 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 (>= 1.4), 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)
Filename: pool/universe/r/r-cran-afex/r-cran-afex_1.1-1-1_all.deb
Size: 3098260
MD5sum: 456f1501b26e1bbc7399503406b63011
SHA1: a338b44b94401163bc55a22a63ae65932e7c0435
SHA256: b2ed769db955adc4c4da75e1c048c34cca37c88fe0a517931930515bae6a2ae0
SHA512: 7088ac711429468106542955d835598bcfb02eacd80dc57c24d3a29d6689185b244d335291086eaa2c5d61cdeb8c4896474e275aca3984a15a6507ef24bcc1d1
Homepage: https://cran.r-project.org/package=afex
Description: GNU R package for analyzing factorial experiments using ANOVA or mixed models
Description-md5: b3d7e3b67c0c13c3aeb5152953b803e5