Package: wCorr 1.9.7

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_1.9.7.tar.gz
wCorr_1.9.7.zip(r-4.7)wCorr_1.9.7.zip(r-4.6)wCorr_1.9.7.zip(r-4.5)
wCorr_1.9.7.tgz(r-4.6-x86_64)wCorr_1.9.7.tgz(r-4.6-arm64)wCorr_1.9.7.tgz(r-4.5-x86_64)wCorr_1.9.7.tgz(r-4.5-arm64)
wCorr_1.9.7.tar.gz(r-4.7-arm64)wCorr_1.9.7.tar.gz(r-4.7-x86_64)wCorr_1.9.7.tar.gz(r-4.6-arm64)wCorr_1.9.7.tar.gz(r-4.6-x86_64)
wCorr_1.9.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
wCorr/json (API)

# Install 'wCorr' in R:
install.packages('wCorr', repos = c('https://american-institutes-for-research.r-universe.dev', 'https://cloud.r-project.org'))

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

Pkgdown/docs 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:

openblascppopenmp

6.67 score 6 packages 188 scripts 1.4k downloads 1 exports 4 dependencies

Last updated from:f17e6f1af9. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING164
linux-devel-x86_64WARNING155
source / vignettesOK285
linux-release-arm64WARNING201
linux-release-x86_64WARNING156
macos-release-arm64WARNING136
macos-release-x86_64WARNING189
macos-oldrel-arm64WARNING95
macos-oldrel-x86_64WARNING265
windows-develWARNING158
windows-releaseWARNING120
windows-oldrelWARNING131
wasm-releaseOK166

Exports:weightedCorr

Dependencies:minqamnormtRcppRcppArmadillo

wCorr Formulas
Specification of estimation formulas | Formulas for Pearson correlations with and without weights | Formulas for Spearman correlations with and without weights | Simulation study of unweighted correlations | Bias, and RMSE of the unweighted correlations | Consistency of the correlations | Computing Time | Simulation study of weighted correlations | Appendix Proof of consistency of Horvitz-Thompson (HT) estimator of a mean
Rendered fromwCorrFormulas.Rmdusingknitr::rmarkdown

Last update: 2023-08-18
Started: 2021-05-18

wCorr Arguments
The ML switch | Computation of polyserial correlation | Computation of polychoric correlation | Simulation study | General procedures of the simulation study of unweighted correlations | ML switch | fast switch | Implications for speed
Rendered fromwCorrArguments.Rmdusingknitr::rmarkdown

Last update: 2023-08-18
Started: 2021-05-18