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

Last updated: May 16,2024

1. Install "r-cran-mertools" package

This tutorial shows how to install r-cran-mertools on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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

This guide covers the steps necessary to uninstall r-cran-mertools on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-cran-mertools
Architecture: all
Version: 0.5.0-2build1
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: 1072
Depends: r-base-core (>= 4.0.0.20200528-1), 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
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_0.5.0-2build1_all.deb
Size: 597588
MD5sum: d65a6f4c678c4612c3914ce01b2c0251
SHA1: 9b56a361517c91a7221076d57aaea39b83810df2
SHA256: 5ae4ed08bb185f9f6860682360789f06173c0ebae3f609fa2d2529a980608659
SHA512: e04baedbad4a1999a5772cab50ca028bd2b52df6d5a8e702cb68f85722097e615a77d0b7d5ef10aa11d493a2fba950b7568c53919ae959043215d1ca6d379c8e
Homepage: https://cran.r-project.org/package=merTools
Description-en: GNU R tools for analyzing mixed effect regression models
Provides methods for extracting results from mixed-effect model objects
fit with the 'lme4' package. Allows construction of prediction
intervals efficiently from large scale linear and generalized linear
mixed-effects models.
Description-md5: f74bd46bdfec19cae5bd785e891bf413