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wCorr  

Weighted Correlations
View on CRAN: Click here


Download and install wCorr package within the R console
Install from CRAN:
install.packages("wCorr")

Install from Github:
library("remotes")
install_github("cran/wCorr")

Install by package version:
library("remotes")
install_version("wCorr", "1.9.8")



Attach the package and use:
library("wCorr")
Maintained by
Paul Bailey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-18
Latest Update: 2023-08-19
Description:
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.
How to cite:
Paul Bailey (2016). wCorr: Weighted Correlations. R package version 1.9.8, https://cran.r-project.org/web/packages/wCorr. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:59), 1.8.0 (2016-05-18 06:54), 1.9.1 (2017-05-18 05:44), 1.9.5 (2021-05-20 23:00), 1.9.6 (2023-02-08 09:10)
Other packages that cited wCorr R package
View wCorr citation profile
Other R packages that wCorr depends, imports, suggests or enhances
Complete documentation for wCorr
Functions, R codes and Examples using the wCorr R package
Some associated functions: wCorr-package . weightedCorr . 
Some associated R codes: RcppExports.R . contCorr.R . contCorrFast.R . polycFast.R . polycSlow.R . polys.mcmc.R . polysFast.R . polysSlow.R . sim.R . wCorr-package.R . wCorrSim.R . weightedCorr.R . wrank.R . zzz.R .  Full wCorr package functions and examples
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