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.

Install the latest version of this package by entering the following in R:
install.packages("wCorr")
AuthorAhmad Emad & Paul Bailey
Date of publication2016-05-18 06:53:53
MaintainerPaul Bailey <pbailey@air.org>
LicenseGPL-2
Version1.8.0

View on CRAN

Files

inst
inst/doc
inst/doc/wCorrArguments.pdf
inst/doc/wCorrArguments.Rmd
inst/doc/wCorrArguments.R
inst/doc/wCorrFormulas.pdf
inst/doc/wCorrFormulas.Rmd
inst/doc/wCorrFormulas.R
src
src/Makevars
src/contCorrHelpers.cpp
src/helpers.cpp
src/polycHelpers.cpp
src/rcpparma_hello_world.cpp
src/Makevars.win
src/RcppExports.cpp
NAMESPACE
R
R/wCorrSim.R R/wrank.R R/polysFast.R R/contCorrFast.R R/polysSlow.R R/contCorr.R R/polycFast.R
R/sysdata.rda
R/RcppExports.R R/wCorr-package.R R/sim.R R/weightedCorr.R R/polycSlow.R R/zzz.R
vignettes
vignettes/wCorrArguments.Rmd
vignettes/wCorrFormulas.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/weightedCorr.Rd man/wCorr-package.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.