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
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wCorr.pdf |wCorr.html
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'))

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

1 exports 2.09 score 4 dependencies 7 dependents 108 scripts 942 downloads

Last updated 1 years agofrom:f17e6f1af9. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-win-x86_64WARNINGSep 12 2024
R-4.5-linux-x86_64WARNINGSep 12 2024
R-4.4-win-x86_64WARNINGSep 12 2024
R-4.4-mac-x86_64WARNINGSep 12 2024
R-4.4-mac-aarch64WARNINGSep 12 2024
R-4.3-win-x86_64WARNINGSep 12 2024
R-4.3-mac-x86_64WARNINGSep 12 2024
R-4.3-mac-aarch64WARNINGSep 12 2024

Exports:weightedCorr

Dependencies:minqamnormtRcppRcppArmadillo

wCorr Arguments

Rendered fromwCorrArguments.Rmdusingknitr::rmarkdownon Sep 12 2024.

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

wCorr Formulas

Rendered fromwCorrFormulas.Rmdusingknitr::rmarkdownon Sep 12 2024.

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