How to Install and Uninstall r-cran-vgam Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 11,2024

1. Install "r-cran-vgam" package

Please follow the step by step instructions below to install r-cran-vgam on Ubuntu 21.10 (Impish Indri)


    
        
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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 is a short guide on how to uninstall r-cran-vgam on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-vgam
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-vgam package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-vgam
Architecture: amd64
Version: 1.1-5-1
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: 7587
Depends: r-base-core (>= 4.0.3-1), 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_1.1-5-1_amd64.deb
Size: 6977472
MD5sum: 3ec1923ed0ca165f71a9a6fc11d18cba
SHA1: 95046752ac808b88884e7245258ea4d0809d12a9
SHA256: ab77d10c5cbe6b48f4d5ae45c208d955bbeeba9b808813c62f36d5df272315c7
SHA512: 809a4bd0ab021e478434a867bc3d495b94bf80e23665f8b7460d712a91a2355d6f9a0c438590e6e5cf5850f15c78b47d686ee7c12f07cbe65d62e95ea7d08754
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