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

Last updated: May 21,2024

1. Install "r-cran-vgam" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-vgam
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-vgam
Architecture: amd64
Version: 1.1-3-1build1
Priority: optional
Section: universe/math
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9000
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.29)
Suggests: r-cran-mass, r-cran-mgcv
Enhances: r-cran-zelig
Filename: pool/universe/r/r-cran-vgam/r-cran-vgam_1.1-3-1build1_amd64.deb
Size: 8197836
MD5sum: 26b66e98dd34d23a7f8e46181f2dcec7
SHA1: 89fa0d5aea0b2c14a230da2086a6c286bf6a8ad4
SHA256: 30ec7e87a492c870665347538ee56e04332814e099f19c391b8ddae0cdbeef1a
SHA512: e7d904d5a23710272236315971209fdb013162e92b9766bb27c2b7c5ef8326ac048e89506c03bb5b32f94dddd95b5128d3fcca48df24c2ffd28f09b5bc3dbdfe
Homepage: https://cran.r-project.org/package=VGAM
Description-en: GNU R package for estimating vector generalized additive models
This package implements a variety of functions for estimating vector
generalized additive models (VGAMs), as well as vector generalized
linear models (VGLMs), reduced-rank VGLMs, and quadratic reduced-rank
VGLMs.
.
Specific models that can be fit include a wide variety of
categorical-response models (with nominal and ordinal dependent
variables), bivariate binary-response models (bivariate
logit/probit), and seemingly-unrelated regressions. The package also
includes a number of standard and non-standard distribution functions
of use to statisticians.
Description-md5: c6182155b24a09624a08326d1fbc08c9