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

Last updated: May 15,2024

1. Install "r-cran-partykit" package

This guide covers the steps necessary to install r-cran-partykit on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the instructions below to uninstall r-cran-partykit on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-partykit
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-partykit package on Kali Linux

Package: r-cran-partykit
Version: 1.2-20-1
Installed-Size: 3283
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.3.1-1), r-api-4.0, r-cran-libcoin (>= 1.0-0), r-cran-mvtnorm, r-cran-survival, r-cran-formula (>= 1.2-1), r-cran-inum (>= 1.0-0), r-cran-rpart (>= 4.1-11), libc6 (>= 2.2.5)
Recommends: r-cran-mlbench, r-cran-coin, r-cran-party, r-cran-xml
Suggests: r-cran-rjava, r-cran-sandwich, r-cran-strucchange, r-cran-vcd, r-cran-aer, r-cran-th.data (>= 1.0-3), r-cran-psychotools (>= 0.3-0), r-cran-psychotree, r-cran-randomforest
Size: 2404772
SHA256: 0a3f272efbfeaddd167acb4daa798808646a0f36edcba240d5c7bfb8bb39757c
SHA1: b4198efadc5d246c98b0ef7cdbd570c4bb8ab9a6
MD5sum: 8af33859febd2f024f4189d837bd30db
Description: GNU R toolkit for recursive partytioning
A toolkit with infrastructure for representing, summarizing, and
visualizing tree-structured regression and classification models. This
unified infrastructure can be used for reading/coercing tree models from
different sources ('rpart', 'RWeka', 'PMML') yielding objects that share
functionality for print()/plot()/predict() methods. Furthermore, new and
improved reimplementations of conditional inference trees (ctree()) and
model-based recursive partitioning (mob()) from the 'party' package are
provided based on the new infrastructure. A description of this package
was published by Hothorn and Zeileis (2015)
.
Description-md5:
Homepage: https://cran.r-project.org/package=partykit
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-partykit/r-cran-partykit_1.2-20-1_amd64.deb