# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "wbCorr" in publications use:' type: software license: MIT title: 'wbCorr: Bivariate Within- and Between-Cluster Correlations' version: 0.3.1 identifiers: - type: doi value: 10.32614/CRAN.package.wbCorr abstract: 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) . 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. authors: - family-names: Küng given-names: Pascal email: pascal.kueng@psychologie.uzh.ch orcid: https://orcid.org/0000-0001-7346-9414 preferred-citation: type: manual title: 'wbCorr: Bivariate Within- and Between-Cluster Correlations' authors: - family-names: Küng given-names: Pascal email: pascal.kueng@psychologie.uzh.ch orcid: https://orcid.org/0000-0001-7346-9414 institution: name: University of Zürich year: '2023' notes: R package version 0.3.1. https://github.com/Pascal-Kueng/wbCorr repository: https://pascal-kueng.r-universe.dev repository-code: https://github.com/Pascal-Kueng/wbCorr commit: c0e1e99b89024bee630a9b3dc08d3c8add59059d url: https://github.com/Pascal-Kueng/wbCorr date-released: '2026-05-23' contact: - family-names: Küng given-names: Pascal email: pascal.kueng@psychologie.uzh.ch orcid: https://orcid.org/0000-0001-7346-9414