BayesCPclust
A Bayesian Approach for Clustering Constant-Wise Change-Point Data
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
2026-04-09 windows/windows R-4.5 | BayesCPclust_0.1.0.zip |
98.6 KiB |
Dependencies (latest)
Imports
Suggests
- testthat (>= 3.0.0)