How to Install and Uninstall r-cran-ggeffects Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 17,2024

1. Install "r-cran-ggeffects" package

Please follow the instructions below to install r-cran-ggeffects on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-ggeffects
            
                    
    
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2. Uninstall "r-cran-ggeffects" package

Here is a brief guide to show you how to uninstall r-cran-ggeffects on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-ggeffects
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-ggeffects package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-ggeffects
Architecture: all
Version: 0.15.1-1
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: 2001
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-insight (>= 0.8.1), 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-gee, r-cran-geepack, r-cran-httr, r-cran-knitr, r-cran-lme4, r-cran-magrittr, r-cran-matrix, 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_0.15.1-1_all.deb
Size: 1122980
MD5sum: c5abeed6975b33693dd3737e1fab842e
SHA1: 0657797de07e9c13f42b926fae134795ba1fe4e6
SHA256: 481f2ceab9cf0dbb2af527e9c0ffb47024b00d439e45a0ef05d3f40b53e83ad9
SHA512: edb30b59c6b060c4ed40248a941542fa533d6f35b46e06e77c0dfd574941b08a553d5e3fbcf2a3e3a320b8ed2c7093c1aaba8c4782b7d6344291ad5fffaca00b
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