wbCorr: Bivariate Within- and Between-Cluster Correlations
Separates supplied variables into within- and
between-cluster components and calculates bivariate correlations for
each level separately. For Pearson correlations, the centered-score
decomposition corresponds to commonly used between- and within-cluster
correlations reviewed by Tu et al. (2025) <doi:10.1002/sim.10326>.
The package's descriptive Spearman option is distinct from the clustered
rank parameters introduced in that paper. 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: |
0.3.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
methods, writexl |
| Suggests: |
httr, knitr, psych, rmarkdown, spelling, testthat (≥ 3.0.0) |
| Published: |
2026-07-23 |
| DOI: |
10.32614/CRAN.package.wbCorr |
| 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://pascal-kueng.github.io/wbCorr/,
https://github.com/Pascal-Kueng/wbCorr |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
wbCorr citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
wbCorr results |
Documentation:
Downloads:
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