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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 |
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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.