A Bayesian Approach for Clustering Constant-Wise Change-Point Data R package BayesCPclust version 0.1.0 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>. Software Depends: R (>= 3.5.0) Imports: extraDistr, RcppAlgos, stats Suggests: testthat (>= 3.0.0) Ana Carolina da Cruz <adacruz@uwo.ca> Comprehensive R Archive Network (CRAN) Ana Carolina da Cruz [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=BayesCPclust/LICENSE) 2025-01-29 application/tgz https://CRAN.R-project.org/package=BayesCPclust doi:10.32614/CRAN.package.BayesCPclust