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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: | 0.3.9 |
Depends: | R (≥ 4.2.0) |
Suggests: | salso (≥ 0.3.0) |
Published: | 2023-07-17 |
DOI: | 10.32614/CRAN.package.caviarpd |
Author: | David B. Dahl |
Maintainer: | David B. Dahl <dahl at stat.byu.edu> |
BugReports: | https://github.com/dbdahl/caviarpd/issues |
License: | MIT + file LICENSE | Apache License 2.0 |
URL: | https://github.com/dbdahl/caviarpd |
NeedsCompilation: | yes |
SystemRequirements: | Cargo (Rust's package manager), rustc (>= 1.65) |
Materials: | NEWS INSTALL |
CRAN checks: | caviarpd results |
Reference manual: | caviarpd.pdf |
Package source: | caviarpd_0.3.9.tar.gz |
Windows binaries: | r-devel: caviarpd_0.3.9.zip, r-release: caviarpd_0.3.9.zip, r-oldrel: caviarpd_0.3.9.zip |
macOS binaries: | r-release (arm64): caviarpd_0.3.9.tgz, r-oldrel (arm64): caviarpd_0.3.9.tgz, r-release (x86_64): caviarpd_0.3.9.tgz, r-oldrel (x86_64): caviarpd_0.3.9.tgz |
Old sources: | caviarpd archive |
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