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

Last updated: November 05,2024

1. Install "r-cran-eipack" package

Learn how to install r-cran-eipack on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-eipack
            
                    
    
    Copied

2. Uninstall "r-cran-eipack" package

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


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-eipack
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-eipack package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-eipack
Architecture: amd64
Version: 0.2-1-1build1
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: 301
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass, r-cran-coda, r-cran-msm, libc6 (>= 2.4)
Suggests: r-cran-lattice
Filename: pool/universe/r/r-cran-eipack/r-cran-eipack_0.2-1-1build1_amd64.deb
Size: 234188
MD5sum: aae6e435dca34067dc6737bbadcdd848
SHA1: 687906dca0fad1a0501b9b431ff7e1a923de7882
SHA256: faff15a312e2f97df7fea8ada86212b72e84cd1398dc1d41f65546a7364a8166
SHA512: c8ba4d41cdd267be927c43fbf53388e3b080554305f83291fed9cfccadf4f18cb9b29819e0de8b80b84fe44c074583bc816b5f4371d8780c2643c8c35a7191e9
Homepage: https://cran.r-project.org/package=eiPack
Description-en: GNU R ecological inference and higher-dimension data management
Provides methods for analyzing RxC ecological contingency
tables using the extreme case analysis, ecological regression,
and Multinomial-Dirichlet ecological inference models. Also
provides tools for manipulating higher-dimension data objects.
Description-md5: fd24bf875e273e731de39fa88792603a