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caviarpd: Cluster Analysis via Random Partition Distributions

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: 0.3.13
Depends: R (≥ 4.2.0)
Suggests: salso (≥ 0.3.0)
Published: 2024-09-06
DOI: 10.32614/CRAN.package.caviarpd
Author: David B. Dahl ORCID iD [aut, cre], R. Jacob Andros ORCID iD [aut], J. Brandon Carter ORCID iD [aut], Alex Crichton [ctb] (Rust crates: cfg-if, proc-macro2), Brendan Zabarauskas [ctb] (Rust crate: approx), David B. Dahl [ctb] (Rust crates: dahl-partition, dahl-salso, epa, roxido, roxido_macro), David Tolnay [ctb] (Rust crates: proc-macro2, quote, syn, unicode-ident), Jim Turner [ctb] (Rust crate: ndarray), Jorge Aparicio [ctb] (Rust crate: libm), Josh Stone [ctb] (Rust crate: autocfg), Mikhail Vorotilov [ctb] (Rust crate: roots), R. Janis Goldschmidt [ctb] (Rust crate: matrixmultiply), Sean McArthur [ctb] (Rust crate: num_cpus), Stefan Lankes [ctb] (Rust crate: hermit-abi), The Cranelift Project Developers [ctb] (Rust crate: wasi), The CryptoCorrosion Contributors [ctb] (Rust crates: ppv-lite86, rand_chacha), The Rand Project Developers [ctb] (Rust crates: getrandom, rand, rand_chacha, rand_core, rand_distr, rand_pcg), The Rust Project Developers [ctb] (Rust crates: libc, num-complex, num-integer, num-traits, rand, rand_chacha, rand_core), Ulrik Sverdrup "bluss" [ctb] (Rust crate: ndarray), bluss [ctb] (Rust crates: matrixmultiply, rawpointer)
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 (>= 1.66.1)
Materials: NEWS INSTALL
CRAN checks: caviarpd results

Documentation:

Reference manual: caviarpd.pdf

Downloads:

Package source: caviarpd_0.3.13.tar.gz
Windows binaries: r-devel: caviarpd_0.3.13.zip, r-release: caviarpd_0.3.13.zip, r-oldrel: caviarpd_0.3.13.zip
macOS binaries: r-release (arm64): caviarpd_0.3.13.tgz, r-oldrel (arm64): caviarpd_0.3.13.tgz, r-release (x86_64): caviarpd_0.3.13.tgz, r-oldrel (x86_64): caviarpd_0.3.13.tgz
Old sources: caviarpd archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.