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 + fileLICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | BayesCPclust results |
| Reference manual: | BayesCPclust.html ,BayesCPclust.pdf |
| Package source: | BayesCPclust_0.1.0.tar.gz |
| Windows binaries: | r-devel:BayesCPclust_0.1.0.zip, r-release:BayesCPclust_0.1.0.zip, r-oldrel:BayesCPclust_0.1.0.zip |
| macOS binaries: | r-release (arm64):BayesCPclust_0.1.0.tgz, r-oldrel (arm64):BayesCPclust_0.1.0.tgz, r-release (x86_64):BayesCPclust_0.1.0.tgz, r-oldrel (x86_64):BayesCPclust_0.1.0.tgz |
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