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.

Version:	0.3.1
Depends:	R (≥ 3.5.0)
Imports:	methods, writexl
Suggests:	httr, spelling, testthat (≥ 3.0.0)
Published:	2026-06-09
DOI:	10.32614/CRAN.package.wbCorr (may not be active yet)
Author:	Pascal Küng [aut, cre, cph]
Maintainer:	Pascal Küng <pascal.kueng at psychologie.uzh.ch>
BugReports:	https://github.com/Pascal-Kueng/wbCorr/issues
License:	MIT + file LICENSE
URL:	https://github.com/Pascal-Kueng/wbCorr
NeedsCompilation:	no
Language:	en-US
Citation:	wbCorr citation info
Materials:	README
CRAN checks:	wbCorr results

Documentation:

Reference manual:

wbCorr.html , wbCorr.pdf

Downloads:

Package source:	wbCorr_0.3.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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