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

Last updated: December 30,2024

1. Install "r-cran-coarsedatatools" package

Please follow the instructions below to install r-cran-coarsedatatools on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

In this section, we are going to explain the necessary steps to uninstall r-cran-coarsedatatools on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-coarsedatatools
            
                    
    
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            $
        

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

Package: r-cran-coarsedatatools
Architecture: all
Version: 0.6-5-2
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: 434
Depends: r-base-core (>= 4.0.1-1), r-api-4.0, r-cran-mcmcpack
Filename: pool/universe/r/r-cran-coarsedatatools/r-cran-coarsedatatools_0.6-5-2_all.deb
Size: 367944
MD5sum: 9c8616a2080bed177e6a05f666be329c
SHA1: 4b81a5a942ab6c5258e708aeb5ab2a0b4160698c
SHA256: 18159e798aae15d8a5731bd0513069e1f919a2f4de21f83f744371bd425605c8
SHA512: 2568446edeffa158ed607efc40532a03d3b3408298257a4618f458a6f09e5948624bcc4e9b9034afac72cce7a9e97d87bf68e2b90e728734af9a4e93d03427b0
Homepage: https://cran.r-project.org/package=coarseDataTools
Description-en: GNU R analysis of coarsely observed data
Functions to analyze coarse data.
Specifically, it contains functions to (1) fit parametric accelerated
failure time models to interval-censored survival time data, and (2)
estimate the case-fatality ratio in scenarios with under-reporting.
This package's development was motivated by applications to infectious
disease: in particular, problems with estimating the incubation period and
the case fatality ratio of a given disease. Sample data files are included
in the package. See Reich et al. (2009) ,
Reich et al. (2012) , and
Lessler et al. (2009) .
Description-md5: 17da4371620c8884bdc9cd63bd64dfef