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

Last updated: May 10,2024

1. Install "r-cran-jomo" package

This tutorial shows how to install r-cran-jomo on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Learn how to uninstall r-cran-jomo on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-jomo
            
                    
    
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            $
        

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

Package: r-cran-jomo
Architecture: amd64
Version: 2.7-1-1build1
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: 2299
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-lme4, r-cran-survival, r-cran-mass, r-cran-ordinal, libc6 (>= 2.4)
Suggests: r-cran-mitml
Filename: pool/universe/r/r-cran-jomo/r-cran-jomo_2.7-1-1build1_amd64.deb
Size: 1999048
MD5sum: 31e356f14c61bc755286e4c38a09e12b
SHA1: f44ea94a457b3bb069f41cc7824cef3c4ad0835a
SHA256: 0052107c71ec3c1c6cfbf408c5604bb5f3727de33802c0c19892b48cae74a100
SHA512: d270c32a17e712810f8fe764ca3f7065308d6ea80766275fb031ab9b3dce6b4c823e52871fa55bd6a7d5e24281c346fbe37e944ca23840238ee13374f3e7dcaf
Homepage: https://cran.r-project.org/package=jomo
Description-en: GNU R multilevel joint modelling multiple imputation
Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel
joint modelling multiple imputation (Carpenter and Kenward, 2013) 10.1002/9781119942283>. Novel aspects of 'jomo' are the possibility of
handling binary and categorical data through latent normal variables,
the option to use cluster-specific covariance matrices and to impute
compatibly with the substantive model.
Description-md5: 51f1e5fc4707d8ad84bb6f2ffb290f56