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

Last updated: May 17,2024

1. Install "r-cran-robustbase" package

This tutorial shows how to install r-cran-robustbase on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-robustbase
            
                    
    
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            $
        

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

Package: r-cran-robustbase
Architecture: amd64
Version: 0.93-6-1build1
Priority: optional
Section: universe/math
Source: robustbase
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3746
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3, r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-deoptimr
Filename: pool/universe/r/robustbase/r-cran-robustbase_0.93-6-1build1_amd64.deb
Size: 3110260
MD5sum: 7361dbcbaf93c9a96c61f514051cd4cb
SHA1: 7946cf9c5ef3e01464e45c6f8356480500ca195b
SHA256: cc64d319ece4c9478ddd308cd3c254c9c120cfe1c51543fc295b928500fdbf61
SHA512: 84e4ea8543090f21ec9ffc2c86432d05ac2a0a081f6097d5acaf3f78d9f9a31aca07c752806567eea08b61a7e30d54abe4322d514d7ae390c303aab895fe68da
Homepage: https://cran.r-project.org/package=robustbase
Description-en: GNU R package providing basic robust statistics
This package provides 'essential' robust statistics. The goal of the
package is to provide tools allowing to analyze data with robust methods.
This includes regression methodology including model selections and
multivariate statistics where the authors strive to cover the book
"Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai;
Wiley 2006.
Description-md5: 7ebe2e911b36b89b0815cb1da540e214