Cluster Analysis via Random Partition Distributions R package caviarpd version 0.3.22 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+) <doi:10.1002/sam.11602>. Software Depends: R (>= 4.3.0) Suggests: salso (>= 0.3.0) David B. Dahl <dahl@stat.byu.edu> Comprehensive R Archive Network (CRAN) David B. Dahl [aut, cre] (ORCID: <https://orcid.org/0000-0002-8173-1547>), R. Jacob Andros [aut] (ORCID: <https://orcid.org/0000-0002-1289-385X>), J. Brandon Carter [aut] (ORCID: <https://orcid.org/0000-0003-1687-0564>), Authors of the dependency Rust crates [ctb] (see inst/AUTHORS file for details) MIT + file LICENSE (https://CRAN.R-project.org/package=caviarpd/LICENSE) Apache License 2.0 2026-03-08 application/tgz https://CRAN.R-project.org/package=caviarpd doi:10.32614/CRAN.package.caviarpd