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

Last updated: May 06,2024

1. Install "r-cran-propclust" package

This is a short guide on how to install r-cran-propclust on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the guidance below to uninstall r-cran-propclust on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-propclust
            
                    
    
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            $
        

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

Package: r-cran-propclust
Architecture: amd64
Version: 1.4-6-1build1
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: 210
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-fastcluster, r-cran-dynamictreecut, libc6 (>= 2.29), libgfortran5 (>= 8)
Filename: pool/universe/r/r-cran-propclust/r-cran-propclust_1.4-6-1build1_amd64.deb
Size: 89812
MD5sum: fb22d70ab7e671bdd6bc838772dfedbf
SHA1: be2a28b9b5afbdb1b7250c79519306f3d46469a2
SHA256: 9140a1f19b3771644609c7cc1926c0e614374573c65fee7df198616c73ef8d27
SHA512: e588ccd646758d3bc76bbe25ca96f6f0a5bea24453bbb99b10dd7451ba8f979b478588ede3a98dabdab56df8d919d99831f5264be5d3341fb9d64f33669d27fb
Homepage: https://cran.r-project.org/package=PropClust
Description-en: Propensity Clustering and Decomposition
Implementation of propensity clustering and decomposition as described
in Ranola et al. (2013) . Propensity
decomposition can be viewed on the one hand as a generalization of the
eigenvector-based approximation of correlation networks, and on the
other hand as a generalization of random multigraph models and conformity-
based decompositions.
Description-md5: b6bb379544904659a5cb691dc9714be1