How to Install and Uninstall r-cran-caic4 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 21,2024

1. Install "r-cran-caic4" package

This is a short guide on how to install r-cran-caic4 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-caic4
            
                    
    
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2. Uninstall "r-cran-caic4" package

Please follow the guidelines below to uninstall r-cran-caic4 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-caic4
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-caic4 package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-caic4
Architecture: all
Version: 0.9-2build1
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: 261
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-lme4 (>= 1.1-6), r-cran-matrix, r-cran-nlme, r-cran-rlrsim, r-cran-mgcv, r-cran-mvtnorm
Filename: pool/universe/r/r-cran-caic4/r-cran-caic4_0.9-2build1_all.deb
Size: 231292
MD5sum: 4c1867d900acbf71617b3e070889bb81
SHA1: f441c68bdc8a96cda205ae3d650cd037bfecd84d
SHA256: fbb059f61e6bbd86af91fdea1c2fe8ccf0674950627da0d74f4d8cdb5cdd58f9
SHA512: 45d36cf477c83b4a4fe1da3c6e0e27c5974232b1c5d4053c82ee2f418d0f0150afb72866288ec279ae78c72fccfb6c19dd8ab05d8926f83d1ed8930ce604341a
Homepage: https://cran.r-project.org/package=cAIC4
Description-en: GNU R conditional Akaike information criterion for 'lme4'
Provides functions for the estimation of the conditional Akaike
information in generalized mixed-effect models fitted with (g)lmer()
from 'lme4'.
Description-md5: a43518e66c0ad0bb0dda2dc6fcc3eeba