04/05: gnu: Add r-clubsandwich.

[guix-commits]

lbraun pushed a commit to branch master
in repository guix.

commit 28df54d77675a2247de17a8e45f57a0c613fb152
Author: Lars-Dominik Braun <ldb@leibniz-psychology.org>
AuthorDate: Fri Mar 12 14:26:13 2021 +0100

    gnu: Add r-clubsandwich.
    
    * gnu/packages/statistics.scm (r-clubsandwich): New variable.
---
 gnu/packages/statistics.scm | 38 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 38 insertions(+)

diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm
index 65a210a..3f3c4e3 100644
--- a/gnu/packages/statistics.scm
+++ b/gnu/packages/statistics.scm
@@ -5952,3 +5952,41 @@ popular stats packages like SAS, Stata and SPSS.")
       "Contains functions useful for data screening, testing moderation,
 mediation and estimating power.")
     (license license:gpl2+)))
+
+(define-public r-clubsandwich
+  (package
+    (name "r-clubsandwich")
+    (version "0.5.3")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "clubSandwich" version))
+       (sha256
+        (base32
+         "0jazgka18bb5n58d5sn94q7rc9sac82qrpl2i5b4rkx9q2pb39cn"))))
+    (properties `((upstream-name . "clubSandwich")))
+    (build-system r-build-system)
+    (propagated-inputs
+     `(("r-sandwich" ,r-sandwich)))
+    (native-inputs `(("r-knitr" ,r-knitr)))
+    (home-page "https://github.com/jepusto/clubSandwich";)
+    (synopsis "Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
+Corrections")
+    (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)
+@url{http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf} and
+developed further by Pustejovsky and Tipton (2017)
+@url{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 @code{lm()} and
+@code{mlm} objects, @code{glm()}, ivreg (from package @code{AER}), @code{plm()}
+(from package @code{plm}), @code{gls()} and @code{lme()} (from @code{nlme}),
+@code{robu()} (from @code{robumeta}), and @code{rma.uni()} and @code{rma.mv()}
+(from @code{metafor}).")
+    (license license:gpl3)))