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

Last updated: February 16,2025

1. Install "r-cran-statmod" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-statmod
            
                    
    
    Copied


    
        
            $
        

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

Package: r-cran-statmod
Architecture: amd64
Version: 1.4.35-1
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: 330
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0
Suggests: r-cran-mass
Filename: pool/universe/r/r-cran-statmod/r-cran-statmod_1.4.35-1_amd64.deb
Size: 254996
MD5sum: a23b409e1ad0f4e2a4cc762809690dab
SHA1: 124c33558c7f7153ef2422c364bfe31b3cfa4cd0
SHA256: 91908793ae8aa79f0db3f0fe30822dc2cbd9b78551b77de0fea661f3be047652
SHA512: 616c9f8aae81f005aeadd214ee5c814cc360ba90a92723f285722ff82d49e268dafb88f2549b05e58bbfbcbca7e4962f2edbaad639bd162e00ad1f9bc97204e6
Homepage: https://cran.r-project.org/package=statmod
Description-en: GNU R package providing algorithms and functions for statistical modeling
This R package provides a collection of algorithms and functions to aid
statistical modeling. Includes limiting dilution analysis (aka ELDA), growth
curve comparisons, mixed linear models, heteroscedastic regression,
inverse-Gaussian probability calculations, Gauss quadrature and a secure
convergence algorithm for nonlinear models. Also includes a number of advanced
generalized linear model functions including new Tweedie and Digamma glm
families and a secure convergence algorithm.
Description-md5: ec23192a68b9b7eac0b88184e35e22fd