Package: BayesCPclust
Title: A Bayesian Approach for Clustering Constant-Wise Change-Point
        Data
Version: 0.1.0
Authors@R: 
    person(given = "Ana Carolina",
           family = "da Cruz",
           role = c("aut", "cre"),
           email = "adacruz@uwo.ca")
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: extraDistr, RcppAlgos, stats
RoxygenNote: 7.3.2
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-01-24 13:11:21 UTC; carol
Author: Ana Carolina da Cruz [aut, cre]
Maintainer: Ana Carolina da Cruz <adacruz@uwo.ca>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-01-29 16:50:06 UTC
Built: R 4.6.0; ; 2026-04-25 23:51:02 UTC; unix
