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

Last updated: December 23,2024

1. Install "r-cran-clubsandwich" package

This guide covers the steps necessary to install r-cran-clubsandwich on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-clubsandwich" package

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

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

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

Package: r-cran-clubsandwich
Architecture: all
Version: 0.4.2-2build1
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: 662
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-sandwich
Recommends: r-cran-testthat, r-cran-lme4, r-cran-geepack, r-cran-plm (>= 1.6-4), r-cran-metafor, r-cran-aer, r-cran-mlmrev, r-cran-robumeta, r-cran-cardata
Suggests: r-cran-formula, r-cran-knitr, r-cran-nlme, r-cran-matrix, r-cran-zoo, r-cran-rmarkdown
Filename: pool/universe/r/r-cran-clubsandwich/r-cran-clubsandwich_0.4.2-2build1_all.deb
Size: 512828
MD5sum: 302cb9e2b284d4551d8668fb02a83471
SHA1: f1e58b1569cb5969523005874b97e7f22f98693c
SHA256: 4f75cb08559ba7c5fc8f88682da082d59d90d260066c134029e1954debbde7ec
SHA512: 991e004ff76c98f61776055bafa1183421121d151d63efff1a77b25553958430ca1b4e0471d2c073052e114cf0c5c7b2d80443b092a37f9e60c6882d1ff7a62d
Homepage: https://cran.r-project.org/package=clubSandwich
Description-en: GNU R cluster-robust (Sandwich) variance estimators with small-sample
Corrections Provides several cluster-robust variance estimators
(i.e., sandwich estimators) for ordinary and weighted least
squares linear regression models, including the bias-reduced
linearization estimator introduced by Bell and McCaffrey (2002)

and developed further by Pustejovsky and Tipton (2017)
. The package includes
functions for estimating the variance- covariance matrix and for
testing single- and multiple- contrast hypotheses based on Wald
test statistics. Tests of single regression coefficients use
Satterthwaite or saddle-point corrections. Tests of multiple-contrast
hypotheses use an approximation to Hotelling's T-squared
distribution. Methods are provided for a variety of fitted models,
including lm() and mlm objects, glm(), ivreg() (from package
'AER'), plm() (from package 'plm'), gls() and lme() (from 'nlme'),
robu() (from 'robumeta'), and rma.uni() and rma.mv() (from
'metafor').
Description-md5: b36d42ea9ff949b879cbade580b1ed6a