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

Last updated: November 26,2024

1. Install "r-cran-profilemodel" package

This guide let you learn how to install r-cran-profilemodel on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-profilemodel
            
                    
    
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2. Uninstall "r-cran-profilemodel" package

In this section, we are going to explain the necessary steps to uninstall r-cran-profilemodel on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-profilemodel
            
                    
    
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            $
        

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

Package: r-cran-profilemodel
Architecture: all
Version: 0.6.1-1
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: 138
Depends: r-base-core (>= 4.0.3-1), r-api-4.0
Suggests: r-cran-mass, r-cran-gnm
Filename: pool/universe/r/r-cran-profilemodel/r-cran-profilemodel_0.6.1-1_all.deb
Size: 105740
MD5sum: fed7ea6b0793e7ca4ae950741cc94377
SHA1: 523a4921a5fd828dc161701192c972f2155697db
SHA256: 85b1d372e7c7a367275fac7dd064d69a05c8b426bb0ae696e987b955cea4b786
SHA512: 490fc7a08dde45be677f68d231e385f502098084303cbde5a78b13847351179eea796dbd81d5e02e6ed8cef3e4675e53dca506b0fba1e9a1623d34eb01a6cec8
Homepage: https://cran.r-project.org/package=profileModel
Description-en: GNU R tools for profiling inference functions
profileModel provides tools that can be used to calculate, evaluate,
plot and use for inference the profiles of *arbitrary* inference
functions for *arbitrary* 'glm'-like fitted models with linear
predictors.
Description-md5: 55031ce393bdba36514676ea2cab54fa