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: 2026-09-23 10:39:13 UTC; root
Author: Ana Carolina da Cruz [aut, cre]
Maintainer: Ana Carolina da Cruz <adacruz@uwo.ca>
Depends: R (>= 3.5.0)
Repository: https://cran.r-universe.dev
Date/Publication: 2025-01-29 17:31:33 UTC
RemoteUrl: https://github.com/cran/BayesCPclust
RemoteRef: HEAD
RemoteSha: 8713ec988eacadeb2427ea5a068254cbc3fc427d