How to Install and Uninstall r-cran-vim Package on Kali Linux

Last updated: May 20,2024

1. Install "r-cran-vim" package

Please follow the guidance below to install r-cran-vim on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the guidelines below to uninstall r-cran-vim on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-vim
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-vim package on Kali Linux

Package: r-cran-vim
Version: 6.2.2+dfsg-1
Installed-Size: 1559
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.2.1-2), r-api-4.0, r-cran-colorspace, r-cran-car, r-cran-magrittr, r-cran-robustbase, r-cran-sp, r-cran-vcd, r-cran-mass, r-cran-nnet, r-cran-e1071, r-cran-rcpp, r-cran-laeken, r-cran-ranger, r-cran-data.table (>= 1.9.4), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-testthat, r-cran-dplyr
Suggests: r-cran-tinytest, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-withr
Size: 1303568
SHA256: b0bbb9e24ab8cecab967f4fefb3cd80dcc74b1329059e0e2d6435879fc956b18
SHA1: cfedefb585bda39574ebf6b77e433218ac933c5f
MD5sum: 4d5a9fbcd55f76b7d65cac1dd88873cf
Description: GNU R visualization and imputation of missing values
New tools for the visualization of missing and/or imputed values
are introduced, which can be used for exploring the data and the structure of
the missing and/or imputed values. Depending on this structure of the missing
values, the corresponding methods may help to identify the mechanism generating
the missing values and allows one to explore the data including missing values.
In addition, the quality of imputation can be visually explored using various
univariate, bivariate, multiple and multivariate plot methods. A graphical user
interface available in the separate package VIMGUI allows an easy handling of
the implemented plot methods.
Description-md5:
Homepage: https://cran.r-project.org/package=VIM
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-vim/r-cran-vim_6.2.2+dfsg-1_amd64.deb