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>.
| Version: | 0.3.22 |
| Depends: | R (≥ 4.3.0) |
| Suggests: | salso (≥ 0.3.0) |
| Published: | 2026-03-08 |
| DOI: | 10.32614/CRAN.package.caviarpd |
| Author: | David B. Dahl caviarpd author details |
| Maintainer: | David B. Dahl <dahl at stat.byu.edu> |
| BugReports: | https://github.com/dbdahl/caviarpd-package/issues |
| License: | MIT + file LICENSE | Apache License 2.0 |
| URL: | https://github.com/dbdahl/caviarpd-package |
| NeedsCompilation: | yes |
| SystemRequirements: | Cargo (Rust's package manager), rustc |
| Materials: | NEWS, INSTALL |
| CRAN checks: | caviarpd results |
| Reference manual: | caviarpd.html , caviarpd.pdf |
| Package source: | caviarpd_0.3.22.tar.gz |
| Windows binaries: | r-devel: caviarpd_0.3.21.zip, r-release: caviarpd_0.3.21.zip, r-oldrel: caviarpd_0.3.22.zip |
| macOS binaries: | r-release (arm64): caviarpd_0.3.22.tgz, r-oldrel (arm64): caviarpd_0.3.22.tgz, r-release (x86_64): caviarpd_0.3.21.tgz, r-oldrel (x86_64): caviarpd_0.3.21.tgz |
| Old sources: | caviarpd archive |
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