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

Last updated: May 06,2024

1. Install "r-cran-fit.models" package

Here is a brief guide to show you how to install r-cran-fit.models on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-fit.models
            
                    
    
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2. Uninstall "r-cran-fit.models" package

This is a short guide on how to uninstall r-cran-fit.models on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-fit.models
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-fit.models package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-fit.models
Architecture: all
Version: 0.63-1
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: 176
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-lattice
Recommends: r-cran-mass
Filename: pool/universe/r/r-cran-fit.models/r-cran-fit.models_0.63-1_all.deb
Size: 139516
MD5sum: 11dd2f132f85f6a1b4a47ea8227e5f16
SHA1: b39acf484589ebd9d8221d73d74f402597894449
SHA256: e20317604dc38ef33a6b94c13cdc4a3dbbc4046a8ba78424e452fde863653372
SHA512: 7979cb2c83a6ca439174707343a61b25a443429d3a0cae523390c74fe3bd0e7075d7edbcaa669769ec4da63df51222cb58fb800ea74fce9fb9b6223856a8edd5
Homepage: https://cran.r-project.org/package=fit.models
Description-en: Compare Fitted Models
The fit.models function and its associated methods (coefficients, print,
summary, plot, etc.) were originally provided in the robust package to
compare robustly and classically fitted model objects. The aim of the
fit.models package is to separate this fitted model object comparison
functionality from the robust package and to extend it to support
fitting methods (e.g., classical, robust, Bayesian, regularized, etc.)
more generally.
Description-md5: bd3a747494e9a170cd7c744a3c9423f0