Package: wbCorr Title: Bivariate Within- and Between-Cluster Correlations Version: 0.3.2.9000 Authors@R: c(person("Pascal", "Küng", , "pascal.kueng@psychologie.uzh.ch", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0001-7346-9414"))) Description: 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) . 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) and by Hamaker (2024) . The package is intended for longitudinal or otherwise clustered data where researchers need transparent correlation matrices before fitting more complex multilevel models. License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) Depends: R (>= 3.5.0) Suggests: httr, knitr, psych, rmarkdown, spelling, testthat (>= 3.0.0) Imports: methods, writexl Config/testthat/edition: 3 Language: en-US URL: https://pascal-kueng.github.io/wbCorr/, https://github.com/Pascal-Kueng/wbCorr BugReports: https://github.com/Pascal-Kueng/wbCorr/issues Config/roxygen2/version: 8.0.0 VignetteBuilder: knitr Config/pak/sysreqs: zlib1g-dev Repository: https://pascal-kueng.r-universe.dev Date/Publication: 2026-08-25 00:45:22 UTC RemoteUrl: https://github.com/Pascal-Kueng/wbCorr RemoteRef: HEAD RemoteSha: 9e374c1b0ff4a56d6fa4c0204b8b7c200ad64eb4 NeedsCompilation: no Packaged: 2026-09-20 10:20:36 UTC; root Author: Pascal Küng [aut, cre, cph] (ORCID: ) Maintainer: Pascal Küng