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

Last updated: November 23,2024

1. Install "r-cran-psychotools" package

Please follow the step by step instructions below to install r-cran-psychotools on Ubuntu 21.10 (Impish Indri)


    
        
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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 step by step instructions below to uninstall r-cran-psychotools on Ubuntu 21.10 (Impish Indri):


    
        
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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 21.10 (Impish Indri)

Package: r-cran-psychotools
Architecture: amd64
Version: 0.6-0-1
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: 1040
Depends: r-base-core (>= 4.0.3-1), 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_0.6-0-1_amd64.deb
Size: 928828
MD5sum: d6b349b8212e8f1f42bf4fb31dcc29f3
SHA1: f2a319909f73129ec6baafcf6b4fc6896504c9dd
SHA256: abe0a75edf53cb23cd10bff0a121c36a2b03d2094b281b355afa247ee904628b
SHA512: f11fe69652be7f4e4c26b6a54d8ed8170dc29f40419ddcaffbd29987c2ff3bf60b57791778f3021de488a71c87204d5213fbcf1d4748c1bbd81619b5909f33e8
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