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

Last updated: November 23,2024

1. Install "r-cran-estimability" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide let you learn how to uninstall r-cran-estimability on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-estimability
            
                    
    
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            $
        

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

Package: r-cran-estimability
Architecture: all
Version: 1.3-3build1
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: 68
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Filename: pool/universe/r/r-cran-estimability/r-cran-estimability_1.3-3build1_all.deb
Size: 38168
MD5sum: 80741af95f243c0a9a0df803b2d30e58
SHA1: b885ef0d3092036ee5c65374432efbc17c8332f9
SHA256: 5f799ee0e9f7984f8def08994aac49299be348e72793e31ccd6f0d50c4dd0896
SHA512: 37f6896af1d2d162a41ddea73fbdb1d649f3d4143116ac31f9134e22ed174ddc4917d443c86718ad92d84af3ab330c213a63bea7b1e7a52e75e70ced28e006a6
Homepage: https://cran.r-project.org/package=estimability
Description-en: GNU R package providing tools for determining estimability of linear functions
The estimability package is a GNU R package providing tools for
determining estimability of linear functions of regression coefficients,
and 'epredict' methods that handle non-estimable cases correctly.
Description-md5: 882326dc78a856cf755f7499fe1a999c