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

Last updated: May 18,2024

1. Install "r-cran-rpact" package

This is a short guide on how to install r-cran-rpact on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide let you learn how to uninstall r-cran-rpact on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-rpact
            
                    
    
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            $
        

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

Package: r-cran-rpact
Architecture: amd64
Version: 2.0.6-1build2
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: 4090
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp (>= 1.0.0), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-testthat (>= 2.0.0)
Suggests: r-cran-ggplot2 (>= 2.2.0)
Filename: pool/universe/r/r-cran-rpact/r-cran-rpact_2.0.6-1build2_amd64.deb
Size: 2524812
MD5sum: 67cc883b4ad52480546ed21c1fd08ed9
SHA1: 1e6d4f35dfc9247f5cc90cd5b62524a8ebd7daec
SHA256: 065e080f3f5078fbfaff3247b070f49879877c97ff410931ff7259cd7da5f063
SHA512: 9dafef9434132f260f9dd8fd78b8670240886b27a59deffb1d050ac3c56ac515770242fa9154c69cfda849270ba03b9d4196745f0e33fd47fd350e804160463c
Homepage: https://cran.r-project.org/package=rpact
Description-en: Confirmatory Adaptive Clinical Trial Design and Analysis
Design and analysis of confirmatory adaptive clinical trials with
continuous, binary, and survival endpoints according to the methods
described in the monograph by Wassmer and Brannath (2016). This
includes classical group sequential as well as multi-stage adaptive
hypotheses tests that are based on the combination testing principle.
Description-md5: ae9e21930639dc2208677921afc4429a