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

Last updated: November 07,2024

1. Install "r-cran-matching" package

Here is a brief guide to show you how to install r-cran-matching on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the guidelines below to uninstall r-cran-matching on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-matching
            
                    
    
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            $
        

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

Package: r-cran-matching
Architecture: amd64
Version: 4.9-7-1build1
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: 850
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass (>= 7.2-1), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.1.1)
Recommends: r-cran-rgenoud (>= 2.12)
Filename: pool/universe/r/r-cran-matching/r-cran-matching_4.9-7-1build1_amd64.deb
Size: 515556
MD5sum: 382692c74bd565ff2e569c0c801b1743
SHA1: 099cb0b1f90fb93d00473d9cc25430961c6f184a
SHA256: c4ad2a7e738f4608e708f22ae10b7a89bc9c05759783dcb6d96d9d49e87e75ef
SHA512: 2245a646ea71c43632d34dfe7af49f7dda140814fbcf7549d89bf8986084eee2d59f46050fc7c4d69773b3896c3b0701f67da2e5aaac67572a5fe751373417f4
Homepage: https://cran.r-project.org/package=Matching
Description-en: multivariate and propensity score matching with balance optimization
Provides functions for multivariate and propensity score matching
and for finding optimal balance based on a genetic search algorithm.
A variety of univariate and multivariate metrics to
determine if balance has been obtained are also provided.
Description-md5: b816d12d695220accab14802adf0a7a5