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

Last updated: May 09,2024

1. Install "r-cran-robustrankaggreg" package

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


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-robustrankaggreg
            
                    
    
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2. Uninstall "r-cran-robustrankaggreg" package

This guide covers the steps necessary to uninstall r-cran-robustrankaggreg on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-cran-robustrankaggreg
Architecture: all
Version: 1.1-3build1
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: 77
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Filename: pool/universe/r/r-cran-robustrankaggreg/r-cran-robustrankaggreg_1.1-3build1_all.deb
Size: 48388
MD5sum: b0f5488558d5bea9b3d0c20d5cf627b7
SHA1: e8fdf6e0e77ab93ed274a341681ef8f427f59b49
SHA256: 1f3c6b4b0f22b350ef80a47edf9e8e70fd349a6e03fc59fc720cd957fcb00b72
SHA512: 27436acf9588c733e7d150d08f9d137e732df51adc41ca456fb55dadc4511011b7f8d0181ecd42049e0ad9a8177e1c600d9e5841d08898ab315965fcda15424d
Homepage: https://cran.r-project.org/package=RobustRankAggreg
Description-en: Methods for robust rank aggregation
Methods for aggregating ranked lists, especially lists of
genes. It implements the Robust Rank Aggregation (Kolde et. al
in preparation) and some other simple algorithms for the task.
RRA method uses a probabilistic model for aggregation that is
robust to noise and also facilitates the calculation of
significance probabilities for all the elements in the final
ranking.
Description-md5: c64c36436ffde1268ea600a795af9597