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

Last updated: April 28,2024

1. Install "r-cran-calibratr" package

Here is a brief guide to show you how to install r-cran-calibratr on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the steps below to uninstall r-cran-calibratr on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-calibratr
            
                    
    
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            $
        

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

Package: r-cran-calibratr
Architecture: all
Version: 0.1.2-2
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: 277
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-ggplot2, r-cran-proc, r-cran-reshape2, r-cran-foreach, r-cran-fitdistrplus, r-cran-doparallel
Filename: pool/universe/r/r-cran-calibratr/r-cran-calibratr_0.1.2-2_all.deb
Size: 245352
MD5sum: 5830ec4b6954c651827352f67fb79672
SHA1: 3786b3c5c439252c47349293637eed82d140ae3a
SHA256: bf5e31ee69bff18c5dee70fd5a34d6ccc5284a3f7a657b4b2a695ea75a10d29a
SHA512: 2f42d5f5e38260fc01e798656f185d578577631dbcd46388876d8d6c4a8ca48ea00e8b6e0f85748ac49f4341e4e01c31aa3c6f2ec6b09a30cb6d89d269571c1a
Homepage: https://cran.r-project.org/package=CalibratR
Description-en: GNU R mapping ML scores to calibrated predictions
Transforms your uncalibrated Machine Learning scores to well-calibrated
prediction estimates that can be interpreted as probability estimates.
The implemented BBQ (Bayes Binning in Quantiles) model is taken from
Naeini (2015, ISBN:0-262-51129-0). Please cite this paper: Schwarz J and
Heider D, Bioinformatics 2019, 35(14):2458-2465.
Description-md5: f5d8daa7eb7fbef1592cd5b10673258b