How to Install and Uninstall r-cran-gbm Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 19,2024

1. Install "r-cran-gbm" package

This guide covers the steps necessary to install r-cran-gbm on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide let you learn how to uninstall r-cran-gbm on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                r-cran-gbm
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-gbm package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: r-cran-gbm
Priority: optional
Section: universe/gnu-r
Installed-Size: 617
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Version: 2.1-1
Depends: r-base-core (>= 3.0.1-3ubuntu1), r-cran-survival, r-cran-lattice, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1)
Filename: pool/universe/r/r-cran-gbm/r-cran-gbm_2.1-1_amd64.deb
Size: 398352
MD5sum: c72d2144e216eb55fd46cbb3bb9023c1
SHA1: f4bb838ad0b5a923dbe464fc47655660c0171a40
SHA256: fa81c4fd7d220a5cfc5ef7cff4843b7bf823329be079c7f4409bc7fdbac6232e
Description-en: GNU R package "Generalized Boosted Regression Models"
This package implements extensions to Freund and Schapire's AdaBoost algorithm
and Friedman's gradient boosting machine. Includes regression methods for least
squares, absolute loss, t-distribution loss, quantile regression, logistic,
multinomial logistic, Poisson, Cox proportional hazards partial likelihood,
AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures
(LambdaMart).
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Author: Greg Ridgeway
.
Maintainer: Harry Southworth
.
URL: http://code.google.com/p/gradientboostedmodels/
Description-md5: 691bd12c658272848c213e6c562ec527
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu