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

Last updated: May 20,2024

1. Install "r-cran-epibasix" package

This guide let you learn how to install r-cran-epibasix on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Here is a brief guide to show you how to uninstall r-cran-epibasix on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-epibasix
            
                    
    
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            $
        

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

Package: r-cran-epibasix
Architecture: all
Version: 1.5-2build1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 123
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Filename: pool/universe/r/r-cran-epibasix/r-cran-epibasix_1.5-2build1_all.deb
Size: 93116
MD5sum: e81d3f44a1e0e0928c2e398d8c094d3e
SHA1: e946ad54531d6149b84081548bf5e92ff5e494cf
SHA256: c5857d7be52c55949d8350d731bec0d5306e3182a7a8aaa81a986917a20ba564
SHA512: dd26858afc3a688f462bc29571f0bd330167ac62a56388caa4aed83b95e62a283f2c613071a32b9cff3350be22d0179a59219cd5ac6462178e36f7dd3df2074f
Homepage: https://cran.r-project.org/package=epibasix
Description-en: GNU R Elementary Epidemiological Functions
Elementary Epidemiological Functions for a Graduate Epidemiology /
Biostatistics Course.
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This package contains elementary tools for analysis of common epidemiological
problems, ranging from sample size estimation, through 2x2 contingency table
analysis and basic measures of agreement (kappa, sensitivity/specificity).
Appropriate print and summary statements are also written to facilitate
interpretation wherever possible. This package is a work in progress, so
any comments or suggestions would be appreciated. Source code is commented
throughout to facilitate modification. The target audience includes graduate
students in various epi/biostatistics courses.
.
Epibasix was developed in Canada.
Description-md5: db7f05c5563722ad733edbecfd95746a