gnu: Add r-clubsandwich.
* gnu/packages/statistics.scm (r-clubsandwich): New variable.
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@ -5952,3 +5952,41 @@ (define-public r-quantpsyc
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"Contains functions useful for data screening, testing moderation,
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mediation and estimating power.")
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(license license:gpl2+)))
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(define-public r-clubsandwich
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(package
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(name "r-clubsandwich")
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(version "0.5.3")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "clubSandwich" version))
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(sha256
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(base32
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"0jazgka18bb5n58d5sn94q7rc9sac82qrpl2i5b4rkx9q2pb39cn"))))
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(properties `((upstream-name . "clubSandwich")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-sandwich" ,r-sandwich)))
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(native-inputs `(("r-knitr" ,r-knitr)))
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(home-page "https://github.com/jepusto/clubSandwich")
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(synopsis "Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
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Corrections")
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(description
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"Provides several cluster-robust variance estimators (i.e.,
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sandwich estimators) for ordinary and weighted least squares linear regression
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models, including the bias-reduced linearization estimator introduced by Bell
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and McCaffrey (2002)
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@url{http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf} and
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developed further by Pustejovsky and Tipton (2017)
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@url{doi:10.1080/07350015.2016.1247004}. The package includes functions for estimating
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the variance- covariance matrix and for testing single- and multiple-
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contrast hypotheses based on Wald test statistics. Tests of single regression
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coefficients use Satterthwaite or saddle-point corrections. Tests of multiple-
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contrast hypotheses use an approximation to Hotelling's T-squared distribution.
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Methods are provided for a variety of fitted models, including @code{lm()} and
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@code{mlm} objects, @code{glm()}, ivreg (from package @code{AER}), @code{plm()}
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(from package @code{plm}), @code{gls()} and @code{lme()} (from @code{nlme}),
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@code{robu()} (from @code{robumeta}), and @code{rma.uni()} and @code{rma.mv()}
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(from @code{metafor}).")
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(license license:gpl3)))
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