Source: r-cran-clubsandwich
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-sandwich,
 r-cran-lifecycle,
 architecture-is-64-bit,
 architecture-is-little-endian,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-clubsandwich
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-clubsandwich.git
Homepage: https://cran.r-project.org/package=clubSandwich

Package: r-cran-clubsandwich
Architecture: all
Depends:
 ${R:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: 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)
 <https://www150.statcan.gc.ca/n1/pub/12-001-x/2002002/article/9058-eng.pdf>
 and developed further by Pustejovsky and Tipton (2017)
 <DOI:10.1080/07350015.2016.1247004>. 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').