How to Install and Uninstall r-cran-afex Package on Kali Linux

Last updated: November 25,2024

1. Install "r-cran-afex" package

In this section, we are going to explain the necessary steps to install r-cran-afex on Kali Linux

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

2. Uninstall "r-cran-afex" package

This guide covers the steps necessary to uninstall r-cran-afex on Kali Linux:

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

3. Information about the r-cran-afex package on Kali Linux

Package: r-cran-afex
Version: 1.3-0-1
Installed-Size: 5939
Maintainer: Debian R Packages Maintainers
Architecture: all
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
Size: 3679856
SHA256: 458183ee9195274e1bae06f021b4eebce4746006861f16bc5401980eef54dbd9
SHA1: 8bece672f90d8d3618d792d78199020d0b9c1c9f
MD5sum: 0013065882d3956c3c8ccd3e5457a9c3
Description: 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:
Homepage: https://cran.r-project.org/package=afex
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-afex/r-cran-afex_1.3-0-1_all.deb