Package: wCorr 1.9.8

Paul Bailey

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.

Authors:Emmanuel Sikali [pdr], Paul Bailey [aut, cre], Ahmad Emad [aut], Eric Buehler [ctb]

wCorr_1.9.8.tar.gz
wCorr_1.9.8.tar.gz(r-4.5-noble)wCorr_1.9.8.tar.gz(r-4.4-noble)
wCorr_1.9.8.tgz(r-4.4-emscripten)wCorr_1.9.8.tgz(r-4.3-emscripten)
wCorr.pdf |wCorr.html
wCorr/json (API)

# Install 'wCorr' in R:
install.packages('wCorr', repos = 'https://cloud.r-project.org')

Bug tracker:https://github.com/american-institutes-for-research/wcorr/issues

Pkgdown site:https://american-institutes-for-research.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:r-wcorr-1.9.8(2025-03-25)

openblascppopenmp

3.77 score 8 packages 1.2k downloads 1 exports 4 dependencies

Last updated 2 years agofrom:6a19e5e831. Checks:1 OK, 2 WARNING. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linux-x86_64WARNINGMar 11 2025
R-4.4-linux-x86_64WARNINGMar 11 2025

Exports:weightedCorr

Dependencies:minqamnormtRcppRcppArmadillo

wCorr Arguments

Rendered fromwCorrArguments.Rmdusingknitr::rmarkdownon Mar 11 2025.

Last update: 2023-08-19
Started: 2016-05-18

wCorr Formulas

Rendered fromwCorrFormulas.Rmdusingknitr::rmarkdownon Mar 11 2025.

Last update: 2023-08-19
Started: 2016-05-18

Citation

To cite package ‘wCorr’ in publications use:

Bailey P, Emad A (2023). wCorr: Weighted Correlations. R package version 1.9.8, https://CRAN.R-project.org/package=wCorr.

Corresponding BibTeX entry:

  @Manual{,
    title = {wCorr: Weighted Correlations},
    author = {Paul Bailey and Ahmad Emad},
    year = {2023},
    note = {R package version 1.9.8},
    url = {https://CRAN.R-project.org/package=wCorr},
  }