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

Last updated: November 26,2024

1. Install "r-cran-psychotools" package

This guide covers the steps necessary to install r-cran-psychotools on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the steps below to uninstall r-cran-psychotools on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-psychotools
            
                    
    
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            $
        

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

Package: r-cran-psychotools
Architecture: amd64
Version: 0.5-1-1build1
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: 1002
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.14)
Suggests: r-cran-formula, r-cran-multcomp, r-cran-sandwich
Filename: pool/universe/r/r-cran-psychotools/r-cran-psychotools_0.5-1-1build1_amd64.deb
Size: 901564
MD5sum: 81ee446c66ba50a8dbd5860e03ee5ae9
SHA1: dbac5302bf9884f0947442452ade486ee783c5e0
SHA256: 6b6626b726b9bfc03411d5536e07be99e4c8b7ed5b841e454dc62703525a5283
SHA512: e0618a8985b4b02fdb68413cb10efd38665386856b3a6166f7a5ad55b9a3dd50fb2b288c6bdf25ed381e5905c7a53957f384dea472196ffb1e7bf3bab7a6d9b3
Homepage: https://cran.r-project.org/package=psychotools
Description-en: GNU R psychometric modeling infrastructure
Infrastructure for psychometric modeling such as data classes (for
item response data and paired comparisons), basic model fitting functions (for
Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit,
rating scale, multinomial processing tree models), extractor functions for
different types of parameters (item, person, threshold, discrimination,
guessing, upper asymptotes), unified inference and visualizations, and various
datasets for illustration. Intended as a common lightweight and efficient
toolbox for psychometric modeling and a common building block for fitting
psychometric mixture models in package "psychomix" and trees based on
psychometric models in package "psychotree".
Description-md5: a28a365340e56367ffd124555f027756