How to Install and Uninstall r-cran-performance Package on Linux Mint 21 (Vanessa)

Last updated: November 22,2024

1. Install "r-cran-performance" package

Please follow the guidance below to install r-cran-performance on Linux Mint 21 (Vanessa)

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

2. Uninstall "r-cran-performance" package

This guide let you learn how to uninstall r-cran-performance on Linux Mint 21 (Vanessa):

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

3. Information about the r-cran-performance package on Linux Mint 21 (Vanessa)

Package: r-cran-performance
Architecture: all
Version: 0.8.0-1
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: 3254
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-bayestestr (>= 0.9.0), r-cran-insight (>= 0.14.0), r-cran-datawizard (>= 0.2.0)
Recommends: r-cran-testthat, r-cran-aer, r-cran-metafor, r-cran-bayesfactor, r-cran-mass, r-cran-lme4, r-cran-pscl, r-cran-glmmtmb, r-cran-rstantools, r-cran-ordinal
Suggests: r-cran-afex, r-cran-brms, r-cran-car, r-cran-dplyr, r-cran-forecast, r-cran-gamm4, r-cran-ggplot2, r-cran-lavaan, r-cran-lmtest, r-cran-loo, r-cran-magrittr, r-cran-matrix, r-cran-mclust, r-cran-mgcv, r-cran-nlme, r-cran-parameters, r-cran-patchwork, r-cran-psych, r-cran-randomforest, r-cran-rmarkdown, r-cran-rstanarm, r-cran-sandwich, r-cran-spelling, r-cran-survey, r-cran-survival, r-cran-vgam
Filename: pool/universe/r/r-cran-performance/r-cran-performance_0.8.0-1_all.deb
Size: 2311954
MD5sum: a86c90052e7b08baba8712f8d4e5d77e
SHA1: 57986e98cd94eec7c6999823d5054ea5cf531145
SHA256: 397a9afa1515408431fd69bc34baf4a2c3ce045af7e8138c25ae50abf7e9c36f
SHA512: 8edf23d4546385389eeb38c007b9e88e7fb3483e226272841674b893683dc5aca1343c74d4ebd973f75b5896aae1d1d2dcd7589278d52be0cde33cfa8a7a7a7d
Homepage: https://cran.r-project.org/package=performance
Description: GNU R assessment of regression models performance
Description-md5: 46ef6ee19ed0ad4b64b834d01b4991e4