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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
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.pdf
Vignettes: wCorr Arguments
wCorr Formulas

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, dnapath, EdSurvey, GPCERF, ivDiag, MOCHA, ResIN

Linking:

Please use the canonical form https://CRAN.R-project.org/package=wCorr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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