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: wbCorr_0.3.1.zip, r-release: not available, r-oldrel: wbCorr_0.3.1.zip |
| macOS binaries: | r-release (arm64): wbCorr_0.3.1.tgz, r-oldrel (arm64): wbCorr_0.3.1.tgz, r-release (x86_64): wbCorr_0.3.1.tgz, r-oldrel (x86_64): wbCorr_0.3.1.tgz |
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