How to Install and Uninstall r-cran-afex Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 03,2024

1. Install "r-cran-afex" package

Please follow the guidelines below to install r-cran-afex on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-cran-afex" package

This tutorial shows how to uninstall r-cran-afex on Ubuntu 21.10 (Impish Indri):

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

3. Information about the r-cran-afex package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-afex
Architecture: all
Version: 0.28-1-1
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: 5400
Depends: r-base-core (>= 4.0.3-1), 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 (>= 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-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
Filename: pool/universe/r/r-cran-afex/r-cran-afex_0.28-1-1_all.deb
Size: 4066600
MD5sum: abb3c796ba894dba6fb34d8f13ba4af8
SHA1: a67ca6691ffd6f8df2addab95a2807eae061e213
SHA256: 8a61863ebb4fd6785978c02d79eb020b2a39389c6e11e8694bfefb14ba6d59af
SHA512: 95f9ca5badd257c5345108c59240aee9030b17e75116c4aacbac84a2ec409423d2e6ccdd56654cb9e1c1f18a9904feda963d9a829125b36af537ed2b578f6cd9
Homepage: https://cran.r-project.org/package=afex
Description-en: GNU R package for analyzing factorial experiments using ANOVA or mixed models
The r-cran-afex package is a GNU R package providing convenience
functions for analyzing factorial experiments using ANOVA or mixed
models. aov_ez(), aov_car(), and aov_4() allow specification of between,
within (i.e., repeated- measures), or mixed between-within (i.e., split-
plot) ANOVAs for data in long format (i.e., one observation per row),
potentially aggregating multiple observations per individual and cell of
the design. mixed() fits mixed models using lme4::lmer() and computes
p-values for all fixed effects using either Kenward-Roger approximation
for degrees of freedom (LMM only), parametric bootstrap (LMMs and
GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3
sums of squares as default (imitating commercial statistical software).
Description-md5: b3d7e3b67c0c13c3aeb5152953b803e5