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

Last updated: December 24,2024

1. Install "r-cran-prabclus" package

In this section, we are going to explain the necessary steps to install r-cran-prabclus on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the step by step instructions below to uninstall r-cran-prabclus on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-prabclus
            
                    
    
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            $
        

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

Package: r-cran-prabclus
Architecture: all
Version: 2.3-2-2build1
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: 836
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass, r-cran-mclust
Recommends: r-cran-spdep, r-cran-mvtnorm, r-cran-spatialreg
Suggests: r-cran-maptools, r-cran-foreign
Filename: pool/universe/r/r-cran-prabclus/r-cran-prabclus_2.3-2-2build1_all.deb
Size: 522668
MD5sum: d35dcbdaf5d31d01d4afe42529625226
SHA1: e9682ecb2699341dd4e5a4c15504088c074e260d
SHA256: 63e9e01925d2ac669f3b1ba181f13d71c4da7f8813ecc801b5c3b9ee16d42ce9
SHA512: d4554f88117c07b412c9443f5e42abca770a6f5e62b7016a46657120081fb855d917ee890598b7885310127bb003c7505afea1cf5e285f581e311714e9493dcf
Homepage: https://cran.r-project.org/package=prabclus
Description-en: GNU R clustering of presence-absence, abundance and multilocus genetic data
Distance-based parametric bootstrap tests for clustering with spatial
neighborhood information. Some distance measures, Clustering of presence-
absence, abundance and multilocus genetical data for species
delimitation, nearest neighbor based noise detection.
Description-md5: 28291f7dd0eece0195b35c85e69adc40