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

Last updated: May 17,2024

1. Install "r-cran-performance" package

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

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

2. Uninstall "r-cran-performance" package

Here is a brief guide to show you how to uninstall r-cran-performance on Kali Linux:

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

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

Package: r-cran-performance
Version: 0.10.8-1
Installed-Size: 3665
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-cran-bayestestr (>= 0.13.1), r-cran-insight (>= 0.19.5), r-cran-datawizard (>= 0.9.0)
Recommends: r-cran-aer, r-cran-afex, r-cran-bayesfactor, r-cran-bayesplot, r-cran-boot, r-cran-brms, r-cran-car, r-cran-cardata, r-cran-dbscan, r-cran-estimatr, r-cran-flextable, r-cran-forecast, r-cran-gamm4, r-cran-ggplot2, r-cran-glmmtmb, r-cran-hmisc, r-cran-httr, r-cran-lavaan, r-cran-lme4, r-cran-lmtest, r-cran-loo, r-cran-mass, r-cran-matrix, r-cran-mclogit, r-cran-mclust, r-cran-metadat, r-cran-metafor, r-cran-mgcv, r-cran-nlme, r-cran-ordinal, r-cran-parameters (>= 0.20.3), r-cran-patchwork, r-cran-pscl, r-cran-psych, r-cran-randomforest, r-cran-rmarkdown, r-cran-rstanarm, r-cran-rstantools, r-cran-sandwich, r-cran-survey, r-cran-survival, r-cran-testthat, r-cran-vgam, r-cran-withr
Size: 3006912
SHA256: efa923ff2e14eee3cdb11f23fd329bb5e069a18da3a640804f11a80495139b89
SHA1: 33d8738a740b09377c1497b1e1b208bd41d35863
MD5sum: 501eb07c5cc7cd38d1876d067fec7b0c
Description: 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:
Homepage: https://cran.r-project.org/package=performance
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-performance/r-cran-performance_0.10.8-1_all.deb