<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
Corrections</dc:title>
  <dc:title>R package clubSandwich version 0.7.0</dc:title>
  <dc:subject>CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics)</dc:subject>
  <dc:subject>CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis)</dc:subject>
  <dc:subject>CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels)</dc:subject>
  <dc:subject>CRAN Task View: Robust (https://CRAN.R-project.org/view=Robust)</dc:subject>
  <dc:description>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) 
    &lt;https://www150.statcan.gc.ca/n1/pub/12-001-x/2002002/article/9058-eng.pdf&gt; and 
    developed further by Pustejovsky and Tipton (2017) 
    &lt;DOI:10.1080/07350015.2016.1247004&gt;. 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(); geeglm() (from package 'geepack'); lm_robust(), lm_lin(), and 
    iv_robust() (from package 'estimatr'); ivreg() (from package 'AER'); ivreg() 
    (from package 'ivreg' when estimated by ordinary least squares); plm() (from 
    package 'plm'); gls() and lme() (from 'nlme'); lmer() (from `lme4`); robu() (from 
    'robumeta'); rma.uni() and rma.mv() (from 'metafor'); and mmrm() (from 'mmrm').</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.0)</dc:relation>
  <dc:relation>Imports: stats, sandwich, lifecycle</dc:relation>
  <dc:relation>Suggests: Formula, knitr, testthat, rmarkdown, covr, AER, carData,
estimatr, fixest, geepack, ivreg, Matrix, lme4, metafor,
metadat, mlmRev, mmrm, nlme, plm (&gt;= 1.6-4), robumeta, zoo</dc:relation>
  <dc:creator>James E. Pustejovsky &lt;jepusto@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>James E. Pustejovsky [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-0591-9465&gt;),
  Hazim Izani [ctb],
  Samuel Pekofsky [ctb],
  Jingru Zhang [ctb]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-05-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=clubSandwich</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.clubSandwich</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
