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wbCorr  

Bivariate Within- and Between-Cluster Correlations
View on CRAN: Click here


Download and install wbCorr package within the R console
Install from CRAN:
install.packages("wbCorr")

Install from Github:
library("remotes")
install_github("cran/wbCorr")

Install by package version:
library("remotes")
install_version("wbCorr", "0.3.1")



Attach the package and use:
library("wbCorr")
Maintained by
Pascal Küng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-09
Latest Update: 2026-06-09
Description:
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.
How to cite:
Pascal Küng (2026). wbCorr: Bivariate Within- and Between-Cluster Correlations. R package version 0.3.1, https://cran.r-project.org/web/packages/wbCorr. Accessed 27 Jun. 2026.
Previous versions and publish date:
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Complete documentation for wbCorr
Functions, R codes and Examples using the wbCorr R package
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