How to Install and Uninstall r-cran-ranger Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 07,2024

1. Install "r-cran-ranger" package

Please follow the instructions below to install r-cran-ranger on Ubuntu 21.10 (Impish Indri)


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

This is a short guide on how to uninstall r-cran-ranger on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-ranger
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-ranger package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-ranger
Architecture: amd64
Version: 0.12.1-3build1
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: 817
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp (>= 0.11.2), r-cran-matrix, r-cran-rcppeigen, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 6)
Recommends: r-cran-testthat, r-cran-survival
Filename: pool/universe/r/r-cran-ranger/r-cran-ranger_0.12.1-3build1_amd64.deb
Size: 377252
MD5sum: 4a96221bd8891372d739ba1402d4f132
SHA1: 06a9115194504dd68e0661f3485cd1cf5bee2194
SHA256: 3babfae3ac7c4f971c2bab9a7766fdc72b7d568bac6243c5bf0c08cb4542d9f3
SHA512: e1457a6daa3ee1515c3820757ecbba5876bb45310271c583b9f53b663774d728895f210a8693fc733e8ba1ec3fb96d5cf9337963b9733ddf6c1887dc99474df7
Homepage: https://cran.r-project.org/package=ranger
Description-en: Fast Implementation of Random Forests
A fast implementation of Random Forests, particularly suited for high
dimensional data. Ensembles of classification, regression, survival and
probability prediction trees are supported. Data from genome-wide association
studies can be analyzed efficiently. In addition to data frames, datasets of
class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix')
can be directly analyzed.
Description-md5: 465eeee64e47503360247dc1f842751c