Package: wbCorr 0.3.1

wbCorr: Bivariate Within- and Between-Cluster Correlations

Separates supplied variables into within- and between-cluster components and calculates bivariate correlations for each level separately. The centered-score decomposition corresponds to commonly used between- and within-cluster correlations discussed by Tu et al. (2025) <doi:10.1002/sim.10326>. The package is also motivated by the distinction between within- and between-person variation described by Curran and Bauer (2011) <doi:10.1146/annurev.psych.093008.100356> and by Hamaker (2024) <doi:10.1080/00273171.2022.2155930>. The package is intended for longitudinal or otherwise clustered data where researchers need transparent correlation matrices before fitting more complex multilevel models.

Authors:Pascal Küng [aut, cre, cph]

wbCorr_0.3.1.tar.gz
wbCorr_0.3.1.zip(r-4.7)wbCorr_0.3.1.zip(r-4.6)wbCorr_0.3.1.zip(r-4.5)
wbCorr_0.3.1.tgz(r-4.6-any)wbCorr_0.3.1.tgz(r-4.5-any)
wbCorr_0.3.1.tar.gz(r-4.7-any)wbCorr_0.3.1.tar.gz(r-4.6-any)
wbCorr_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
wbCorr/json (API)

# Install 'wbCorr' in R:
install.packages('wbCorr', repos = c('https://pascal-kueng.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pascal-kueng/wbcorr/issues

Datasets:

On CRAN:

Conda:

3.41 score 1 stars 26 scripts 15 exports 1 dependencies

Last updated from:c0e1e99b89. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK173
source / vignettesOK173
linux-release-x86_64OK168
macos-release-arm64OK171
macos-oldrel-arm64OK218
windows-develOK131
windows-releaseOK138
windows-oldrelOK103
wasm-releaseOK105

Exports:get_iccget_ICCget_ICCsget_matricesget_matrixget_tableget_tablesplotprintshowsummaryto_excelupdate_wbCorrwbcorrwbCorr

Dependencies:writexl