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


Reference manual: wCorr.pdf
Vignettes: wCorr Arguments
wCorr Formulas


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, GPCERF, ivDiag, MOCHA, ResIN


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