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

Last updated: May 12,2024

1. Install "r-cran-mclust" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Learn how to uninstall r-cran-mclust on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-mclust
            
                    
    
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            $
        

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

Package: r-cran-mclust
Architecture: amd64
Version: 5.4.6-1build1
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: 5223
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libblas3 | libblas.so.3, libc6 (>= 2.29), libgfortran5 (>= 8), liblapack3 | liblapack.so.3
Recommends: r-cran-knitr (>= 1.12), r-cran-mass
Suggests: r-cran-rmarkdown (>= 0.9), r-cran-geometry (>= 0.3-6)
Filename: pool/universe/r/r-cran-mclust/r-cran-mclust_5.4.6-1build1_amd64.deb
Size: 4041232
MD5sum: 161288dd02d9a389a479eb859b41aeda
SHA1: d832b2b853557e51931a0b81a77198861dd23e2c
SHA256: 92bd61bcd4c8d8ef198e128c9a9fb127d2bbb9ff14ca566bea69b343b643aece
SHA512: dde538dd385c138b98228f34e3cfed1ff1e119eb7e46fec044a7425f419a4b7b92b75bfafda88c8f59243dc31568cb8da4e9f989d20af76a023fa57b981e298e
Homepage: https://cran.r-project.org/package=mclust
Description-en: Gaussian Mixture Modelling for Model-Based Clustering
This GNU R package supports Gaussian Mixture Modelling for Model-Based
Clustering, Classification, and Density Estimation.
.
Gaussian finite mixture models fitted via EM algorithm for model-based
clustering, classification, and density estimation, including Bayesian
regularization, dimension reduction for visualisation, and
resampling-based inference.
Description-md5: e56f1c7d370a5db80c95f51e7ae8591d