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

Last updated: May 17,2024

1. Install "r-cran-themis" package

Please follow the steps below to install r-cran-themis on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-themis
            
                    
    
    Copied

2. Uninstall "r-cran-themis" package

This guide covers the steps necessary to uninstall r-cran-themis on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-themis
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-themis
Version: 1.0.2-2
Installed-Size: 442
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-cran-recipes (>= 1.0.4), r-cran-gower, r-cran-lifecycle (>= 1.0.3), r-cran-dplyr, r-cran-generics (>= 0.1.0), r-cran-purrr, r-cran-rann, r-cran-rlang, r-cran-rose, r-cran-tibble, r-cran-withr, r-cran-glue, r-cran-hardhat, r-cran-vctrs
Recommends: r-cran-covr, r-cran-dials (>= 1.2.0), r-cran-ggplot2, r-cran-modeldata, r-cran-testthat (>= 3.0.0)
Size: 307284
SHA256: 213d9db16651d3a54a6d05821efa7ccc82655b2862bd00d7ad632fc89c86e321
SHA1: d40058b54e0bcbc5a6b71a6e54710bb6bf7f28cc
MD5sum: e1827fecf655048aadb649d559d660f1
Description: GNU R extra recipes steps for dealing with unbalanced data
A dataset with an uneven number of cases in each
class is said to be unbalanced. Many models produce a subpar
performance on unbalanced datasets. A dataset can be balanced by
increasing the number of minority cases using SMOTE 2011
, BorderlineSMOTE 2005 and
ADASYN 2008 . Or by
decreasing the number of majority cases using NearMiss 2003
or Tomek
link removal 1976 .
Description-md5:
Homepage: https://cran.r-project.org/package=themis
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-themis/r-cran-themis_1.0.2-2_all.deb