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

Last updated: November 07,2024

1. Install "r-cran-mediana" package

This is a short guide on how to install r-cran-mediana on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This tutorial shows how to uninstall r-cran-mediana on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-mediana
            
                    
    
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            $
        

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

Package: r-cran-mediana
Architecture: all
Version: 1.0.8-3build1
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: 1137
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-doparallel, r-cran-dorng, r-cran-foreach, r-cran-mass, r-cran-mvtnorm, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/universe/r/r-cran-mediana/r-cran-mediana_1.0.8-3build1_all.deb
Size: 592352
MD5sum: 37ad0a695c858c04ddf1c94015bc1daf
SHA1: 0f076be30102ea9df886ecc13cf17ef352ce6f0b
SHA256: 7f842374981a94eff1356ce6ad55e4c7bf099a14c2e1f251413c01a0c3e6f0f6
SHA512: 4bfe7da9aac46dc4ac61e770913884aa87f56487977b2b45871955b156aa3bb36893fa9910f5b03785f8becb4badb75acdb8a247b788b2cb5a7b8ea2a17490ec
Homepage: https://cran.r-project.org/package=Mediana
Description-en: clinical trial simulations
Provides a general framework for clinical trial simulations based on the
Clinical Scenario Evaluation (CSE) approach. The package supports a
broad class of data models (including clinical trials with continuous,
binary, survival-type and count-type endpoints as well as multivariate
outcomes that are based on combinations of different endpoints),
analysis strategies and commonly used evaluation criteria.
Description-md5: 3b5ce5a444fbbaf9262e4dd8c64fdab3