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

Last updated: May 14,2024

1. Install "r-cran-performance" package

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

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

2. Uninstall "r-cran-performance" package

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

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

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

Package: r-cran-performance
Architecture: all
Version: 0.4.6-2build1
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: 1665
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-insight (>= 0.8.1), r-cran-bayestestr (>= 0.5.0)
Recommends: r-cran-testthat
Suggests: r-cran-aer, r-cran-brms, r-cran-covr, r-cran-forecast, r-cran-glmmtmb, r-cran-lavaan, r-cran-lme4, r-cran-loo, r-cran-matrix, r-cran-mass, r-cran-metafor, r-cran-nlme, r-cran-ordinal, r-cran-parameters (>= 0.5.0), r-cran-pscl, r-cran-psych, r-cran-randomforest, r-cran-rmarkdown, r-cran-rstanarm, r-cran-rstantools, r-cran-survey, r-cran-survival, r-cran-vgam
Filename: pool/universe/r/r-cran-performance/r-cran-performance_0.4.6-2build1_all.deb
Size: 1325244
MD5sum: 45ee1fd4bf5366091663e25cb1dc716a
SHA1: 43218c5839b35212e68120d7b209e94b4fb28148
SHA256: 0df8d1c8cd5675d9666285dd5f690ced5363f3dfa83aded7ce43a45b04ad3873
SHA512: e79963f88ae0db9e1fc84624bb904b9e18e51e84280ffc075fa1f7b04537f91e04e067a9906e40d35753342e0a451243a8576dec3c63a3f4a199a13e255ef670
Homepage: https://cran.r-project.org/package=performance
Description-en: GNU R assessment of regression models performance
Utilities for computing measures to assess model quality,
which are not directly provided by R's 'base' or 'stats' packages. These
include e.g. measures like r-squared, intraclass correlation coefficient
(Nakagawa, Johnson & Schielzeth (2017) ),
root mean squared error or functions to check models for overdispersion,
singularity or zero-inflation and more. Functions apply to a large variety of
regression models, including generalized linear models, mixed effects models
and Bayesian models.
Description-md5: 46ef6ee19ed0ad4b64b834d01b4991e4