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

Last updated: December 29,2024

1. Install "r-cran-pscl" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Learn how to uninstall r-cran-pscl on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-pscl
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-pscl
Architecture: amd64
Version: 1.5.5-1build1
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: 3622
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass, libc6 (>= 2.3.4)
Suggests: r-cran-lattice, r-cran-mcmcpack, r-cran-car, r-cran-lmtest, r-cran-sandwich, r-cran-zoo, r-cran-coda, r-cran-vcd, r-cran-mvtnorm, r-cran-mgcv
Enhances: r-cran-mass
Filename: pool/universe/r/r-cran-pscl/r-cran-pscl_1.5.5-1build1_amd64.deb
Size: 3536968
MD5sum: f66b6f215dea9d04ab55840b4d253259
SHA1: be5e42b729fee4c535b76f8ea6becafff4ab1970
SHA256: ffb0c708fe90767dd78f68cbfbbaaa8ecd3826762c2090f039a8d69aaedc3c57
SHA512: 2d8a1442996db0de081a6c3bf32df3fd1ac2370a2ef39cb1319b63239fac240879c212bd25a85fa4bee4daaadbc75672fb8696cfe9ec7b127092dc38cac91dae
Homepage: https://cran.r-project.org/package=pscl
Description-en: GNU R package for discrete data models
This package consists of R functions developed at the Political
Science Computational Laboratory at Stanford University; it currently
includes models for count data (hurdle regression and zero-inflated
negative binomial and Poisson models), ordinal probit and logit (also
available in MASS via polr), and an item-response theory model. Also
included are Vuong tests for non-nested hypothesis testing and
convenience functions for handling roll-call vote matrices.
Description-md5: 69167a61a1031457ce53afb6d933d0f8