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

Last updated: February 02,2025

1. Install "r-cran-ggeffects" package

This guide covers the steps necessary to install r-cran-ggeffects on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-cran-ggeffects" package

Please follow the steps below to uninstall r-cran-ggeffects on Ubuntu 21.10 (Impish Indri):

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

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

Package: r-cran-ggeffects
Architecture: all
Version: 1.0.1-1
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: 2200
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-insight (>= 0.11.0), r-cran-mass, r-cran-sjlabelled (>= 1.1.2)
Recommends: r-cran-testthat, r-cran-emmeans (>= 1.4.1), r-cran-ggplot2, r-cran-sandwich, r-cran-glmmtmb, r-cran-pscl, r-cran-haven
Suggests: r-cran-aer, r-cran-brms, r-cran-clubsandwich, r-cran-effects (>= 4.1-2), r-cran-gam, r-cran-gamm4, r-cran-gee, r-cran-geepack, r-cran-httr, r-cran-knitr, r-cran-lme4, r-cran-magrittr, r-cran-matrix, r-cran-mice, r-cran-mgcv, r-cran-nlme, r-cran-ordinal, r-cran-prediction, r-cran-quantreg, r-cran-rmarkdown, r-cran-rms, r-cran-robustbase, r-cran-rstanarm, r-cran-rstantools, r-cran-sjstats, r-cran-sjmisc (>= 2.8.2), r-cran-survey, r-cran-survival, r-cran-vgam
Filename: pool/universe/r/r-cran-ggeffects/r-cran-ggeffects_1.0.1-1_all.deb
Size: 1257484
MD5sum: 8c3cefc97cf82fea6d0b140f6c14af37
SHA1: eb2fe7ddbbe4ff94c19ef548acbe9fd33934de42
SHA256: 3f520bbf53e4da499ea71bec2c80678c98011baec51457d6c3091aeca03541c9
SHA512: 08224e224647b698e5501d8417a41bc03574d1292f6335dd88805ce0a92f79e1cd04fca611e8d51baf4e6c8171bc68fd3bb81aa3926349908309b479d7cafb1f
Homepage: https://cran.r-project.org/package=ggeffects
Description-en: GNU R create tidy data frames of marginal effects for 'ggplot'
Compute marginal effects at the mean or average marginal effects from
statistical models and returns the result as tidy data frames. These
data frames are ready to use with the 'ggplot2'-package.
Marginal effects can be calculated for many different models. Interaction
terms, splines and polynomial terms are also supported. The two main
functions are ggpredict() and ggaverage(), however, there are
some convenient wrapper-functions especially for polynomials or
interactions. There is a generic plot()-method to plot the results
using 'ggplot2'.
Description-md5: 072d64c709f93c88d8968975c9bf91e5