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

Last updated: May 17,2024

1. Install "r-cran-mice" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-mice
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-mice package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-mice
Architecture: amd64
Version: 3.11.0-1
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: 1505
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-generics, r-cran-lattice, r-cran-rcpp, r-cran-tidyr, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-boot, r-cran-testthat, r-cran-hsaur3, r-cran-mass, r-cran-nloptr, r-cran-matrix, r-cran-rcppeigen, r-cran-minqa, r-cran-mitml, r-cran-haven, r-cran-jomo, r-cran-pan, r-cran-readr, r-cran-hms, r-cran-forcats, r-cran-ordinal, r-cran-nnet, r-cran-ucminf, r-cran-numderiv, r-cran-clipr, r-cran-lme4, r-cran-survival, r-cran-lmtest
Suggests: r-cran-knitr, r-cran-randomforest, r-cran-rmarkdown, r-cran-rpart
Filename: pool/universe/r/r-cran-mice/r-cran-mice_3.11.0-1_amd64.deb
Size: 1296036
MD5sum: c2f7f58c63dc7d251993bf64c20de8dc
SHA1: 418e475c7d3cfe7c19030053c092411b4f8dc36c
SHA256: 651b0daa490bd42ab9fd8f01bcfe599ee7ed6ab8b5c3329da1e1602683a06e04
SHA512: a271a8a67d72eb30199fd38defe428fadb36a9ae8fa8e24ea59d69eab5420cb9ff8fd3f2e7f701ee676e33ae7734d986292b470fa45c009929d05ab24f88e758
Homepage: https://cran.r-project.org/package=mice
Description-en: GNU R multivariate imputation by chained equations
Multiple imputation using Fully Conditional Specification (FCS)
implemented by the MICE algorithm as described in Van Buuren and
Groothuis-Oudshoorn (2011) . Each variable has
its own imputation model. Built-in imputation models are provided for
continuous data (predictive mean matching, normal), binary data (logistic
regression), unordered categorical data (polytomous logistic regression)
and ordered categorical data (proportional odds). MICE can also impute
continuous two-level data (normal model, pan, second-level variables).
Passive imputation can be used to maintain consistency between variables.
Various diagnostic plots are available to inspect the quality of the
imputations.
Description-md5: e96f2e2829bbbdab64a562ce6d23139a