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

Last updated: May 16,2024

1. Install "r-cran-ggeffects" package

This is a short guide on how to install r-cran-ggeffects on Kali Linux

$ 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 Kali Linux:

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

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

Package: r-cran-ggeffects
Version: 1.4.0+dfsg-1
Installed-Size: 982
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-cran-insight (>= 0.19.8)
Recommends: r-cran-aer, r-cran-bayestestr, r-cran-brglm2, r-cran-brms, r-cran-broom, r-cran-car, r-cran-cardata, r-cran-clubsandwich, r-cran-datawizard (>= 0.9.0), r-cran-effects (>= 4.2-2), r-cran-emmeans (>= 1.8.9), r-cran-gam, r-cran-gamm4, r-cran-gee, r-cran-geepack, r-cran-ggplot2, r-cran-ggrepel, r-cran-glmmtmb (>= 1.1.7), r-cran-gridextra, r-cran-haven, r-cran-httr, r-cran-jsonlite, r-cran-knitr, r-cran-lme4 (>= 1.1-35), r-cran-magrittr, r-cran-marginaleffects (>= 0.16.0), r-cran-mass, r-cran-matrix, r-cran-mice, r-cran-mgcv, r-cran-nlme, r-cran-nnet, r-cran-ordinal, r-cran-parameters, r-cran-patchwork, r-cran-pscl, r-cran-quantreg, r-cran-rmarkdown, r-cran-rms, r-cran-robustbase, r-cran-rstanarm, r-cran-rstantools, r-cran-sandwich, r-cran-sjlabelled (>= 1.1.2), r-cran-sjstats, r-cran-survey, r-cran-survival, r-cran-testthat, r-cran-tibble, r-cran-withr, r-cran-vgam
Size: 778836
SHA256: abb45239f8501bc14eb7a502b24d93fa2e65963fceaaf6b9e3846328283751c7
SHA1: 154cfaea69428640cd6f6b9edb148c94d51a2bbd
MD5sum: f142d810f08d4e257775a65717d804c4
Description: 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:
Homepage: https://cran.r-project.org/package=ggeffects
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-ggeffects/r-cran-ggeffects_1.4.0+dfsg-1_all.deb