A Gibbs sampler algorithm was developed to estimate change points in constant-wise data sequences while performing clustering simultaneously. The algorithm is described in da Cruz, A. C. and de Souza, C. P. E "A Bayesian Approach for Clustering Constant-wise Change-point Data" <doi:10.48550/arXiv.2305.17631>.
Version: | 0.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | extraDistr, RcppAlgos, stats |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2025-01-29 |
DOI: | 10.32614/CRAN.package.BayesCPclust |
Author: | Ana Carolina da Cruz [aut, cre] |
Maintainer: | Ana Carolina da Cruz <adacruz at uwo.ca> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | BayesCPclust results |
Reference manual: | BayesCPclust.pdf |
Package source: | BayesCPclust_0.1.0.tar.gz |
Windows binaries: | r-devel: not available, r-release: BayesCPclust_0.1.0.zip, r-oldrel: not available |
macOS binaries: | r-release (arm64): BayesCPclust_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Please use the canonical form https://CRAN.R-project.org/package=BayesCPclust to link to this page.