wCorr: Weighted Correlations

Calculates Pearson, Spearman, polychoric, and polyserial correlation coefficients, in weighted or unweighted form. The package implements tetrachoric correlation as a special case of the polychoric and biserial correlation as a specific case of the polyserial.

Version:	1.9.8
Depends:	R (≥ 3.0.0)
Imports:	minqa, mnormt, Rcpp, stats
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown, lattice, doBy
Published:	2023-08-19
DOI:	10.32614/CRAN.package.wCorr
Author:	Emmanuel Sikali [pdr], Paul Bailey [aut, cre], Ahmad Emad [aut], Eric Buehler [ctb]
Maintainer:	Paul Bailey <pbailey at air.org>
BugReports:	https://github.com/American-Institutes-for-Research/wCorr/issues
License:	GPL-2
URL:	https://american-institutes-for-research.github.io/wCorr/
NeedsCompilation:	yes
In views:	Psychometrics
CRAN checks:	wCorr results

Documentation:

Reference manual:	wCorr.html , wCorr.pdf
Vignettes:	wCorr Arguments (source, R code) wCorr Formulas (source, R code)

Downloads:

Package source:	wCorr_1.9.8.tar.gz
Windows binaries:	r-devel: wCorr_1.9.8.zip, r-release: wCorr_1.9.8.zip, r-oldrel: wCorr_1.9.8.zip
macOS binaries:	r-release (arm64): wCorr_1.9.8.tgz, r-oldrel (arm64): wCorr_1.9.8.tgz, r-release (x86_64): wCorr_1.9.8.tgz, r-oldrel (x86_64): wCorr_1.9.8.tgz
Old sources:	wCorr archive

Reverse dependencies:

Reverse imports:	CausalGPS, EdSurvey, ivDiag
Reverse suggests:	ILSAstats

Linking:

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