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clubSandwich

clubSandwich provides several cluster-robust variance estimators (i.e., sandwich estimators) for ordinary and weighted least squares linear regression models, two-stage least squares regression models, and generalized linear models. Several adjustments are incorporated to improve small-sample performance. 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 saddlepoint 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()
• mlm()
• glm()
• lm_robust() and lm_lin() (from package estimatr)
• geeglm() (from package geepack)
• ivreg() (from package ivreg, when estimated using method = "OLS")
• ivreg() (from package AER)
• plm() (from package plm),
• gls() and lme() (from package nlme)
• lmer() (from package lme4)
• mmrm() (from package mmrm)
• robu() (from package robumeta)
• rma.uni() and rma.mv() (from package metafor)

Installing clubSandwich

The package is available on the Comprehensive R Archive Network. To install it, type

install.packages("clubSandwich")

To install the latest development version directly from Github, type:

install.packages("remotes")
remotes::install_github("jepusto/clubSandwich")

Once installed, have a look at the available vignettes by typing:

browseVignettes(package="clubSandwich")