How to Install and Uninstall r-cran-mertools Package on Linux Mint 21 (Vanessa)

Last updated: November 26,2024

1. Install "r-cran-mertools" package

This guide let you learn how to install r-cran-mertools on Linux Mint 21 (Vanessa)


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

Please follow the guidance below to uninstall r-cran-mertools on Linux Mint 21 (Vanessa):


    
        
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                sudo apt remove
            
                        
                r-cran-mertools
            
                    
    
    Copied


    
        
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-mertools package on Linux Mint 21 (Vanessa)

Package: r-cran-mertools
Architecture: all
Version: 0.5.2-1
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: 1068
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-arm, r-cran-lme4 (>= 1.1-11), r-cran-dplyr, r-cran-mvtnorm, r-cran-foreach, r-cran-shiny, r-cran-abind, r-cran-ggplot2, r-cran-blme, r-cran-broom.mixed
Recommends: r-cran-testthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-nlme, r-cran-future.apply, r-cran-rstanarm, r-cran-amelia, r-cran-dt
Filename: pool/universe/r/r-cran-mertools/r-cran-mertools_0.5.2-1_all.deb
Size: 593364
MD5sum: 9e9e73268fdc7876fa057ff48d83a49c
SHA1: 5087dc2c702a262c9519ec013ecb8d4b38a44769
SHA256: 3654579991468cbb7a7d79c07e00d94c639929ba9e82d94e0bcde79e5d323822
SHA512: f9348e50320d154107ce51c2829ba23bb816fd9f610ac76d045e9be6857be6248247ce48f11b09455b9a050f64c62ef3d0e8d8b09e70d3fd6b4c2df38e76911f
Homepage: https://cran.r-project.org/package=merTools
Description: GNU R tools for analyzing mixed effect regression models
Description-md5: f74bd46bdfec19cae5bd785e891bf413