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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

openblascppopenmp

3.70 score 7 packages 117 scripts 1.2k downloads 1 exports 4 dependencies

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

TargetResultDate
Doc / VignettesOKDec 11 2024
R-4.5-linux-x86_64WARNINGDec 11 2024

Exports:weightedCorr

Dependencies:minqamnormtRcppRcppArmadillo

wCorr Arguments

Paul Bailey, Ahmad Emad, Ting Zhang, Qingshu Xie

Rendered fromwCorrArguments.Rmdusingknitr::rmarkdownon Dec 11 2024.

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

wCorr Formulas

Paul Bailey, Ahmad Emad, Ting Zhang, Qingshu Xie

Rendered fromwCorrFormulas.Rmdusingknitr::rmarkdownon Dec 11 2024.

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