Package: wCorr 1.9.8
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:
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
Conda:r-wcorr-1.9.8(2025-03-25)
Last updated 2 years agofrom:6a19e5e831. Checks:1 OK, 2 WARNING. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 11 2025 |
R-4.5-linux-x86_64 | WARNING | Mar 11 2025 |
R-4.4-linux-x86_64 | WARNING | Mar 11 2025 |
Exports:weightedCorr
Dependencies:minqamnormtRcppRcppArmadillo
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}, }