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

Last updated: May 07,2024

1. Install "r-cran-partykit" package

Learn how to install r-cran-partykit on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install r-cran-partykit

2. Uninstall "r-cran-partykit" package

Please follow the step by step instructions below to uninstall r-cran-partykit on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove r-cran-partykit $ sudo apt autoclean && sudo apt autoremove

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

Package: r-cran-partykit
Architecture: amd64
Version: 1.2-7-1build1
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: 1980
Depends: r-base-core (>= 4.0.0.20200528-1), 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)
Recommends: r-cran-mlbench, r-cran-coin (>= 1.1-0), r-cran-party (>= 1.3-0)
Suggests: r-cran-xml, 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
Filename: pool/universe/r/r-cran-partykit/r-cran-partykit_1.2-7-1build1_amd64.deb
Size: 1627304
MD5sum: 45b07252da85f5bd10f60a36ef5ae6b0
SHA1: 6bcf1cd0f7ee04b50aa3e98ad821087d4dd32a41
SHA256: 76869169409773c791629205a43492d947659afbba5921386b8c1f4da52524ec
SHA512: 2370861dd07efa85d36d9d8df52d8d540188434b6c1a30e5836dd6ad506316ef299929c980154cc8c7b1b140a120f92573d8b519b8ab1dbd6e500d1cb1303c18
Homepage: https://cran.r-project.org/package=partykit
Description-en: 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: 1b02b1a245bc511f88312e6a6e1fc11b