# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "caviarpd" in publications use:' type: software license: - Apache-2.0 - MIT title: 'caviarpd: Cluster Analysis via Random Partition Distributions' version: 0.3.24 doi: 10.32614/CRAN.package.caviarpd abstract: Cluster analysis is performed using pairwise distance information and a random partition distribution. The method is implemented for two random partition distributions. It draws samples and then obtains and plots clustering estimates. An implementation of a selection algorithm is provided for the mass parameter of the partition distribution. Since pairwise distances are the principal input to this procedure, it is most comparable to the hierarchical and k-medoids clustering methods. The method is Dahl, Andros, Carter (2022+) . authors: - family-names: Dahl given-names: David B. email: dahl@stat.byu.edu orcid: https://orcid.org/0000-0002-8173-1547 - family-names: Andros given-names: R. Jacob email: androsrj@gmail.com orcid: https://orcid.org/0000-0002-1289-385X - family-names: Carter given-names: J. Brandon email: carterj4@icloud.com orcid: https://orcid.org/0000-0003-1687-0564 repository: https://dbdahl.r-universe.dev repository-code: https://github.com/dbdahl/caviarpd-package commit: dadb52b2ded4544cec61d919e9801e250767745e url: https://github.com/dbdahl/caviarpd-package date-released: '2026-03-14' contact: - family-names: Dahl given-names: David B. email: dahl@stat.byu.edu orcid: https://orcid.org/0000-0002-8173-1547