Package: BayesChange
Title: Bayesian Methods for Change Points Analysis
Version: 2.1.3
Authors@R: c(
    person("Luca", "Danese", role = c("aut", "cre", "cph"), email = "l.danese1@campus.unimib.it", comment = c(ORCID = "0000-0001-8444-8563")), 
    person("Riccardo", "Corradin", role = "aut"),
    person("Andrea", "Ongaro", role = "aut"))
Description: Perform change points detection on univariate and multivariate time series according to the methods presented by Asael Fabian Martínez and Ramsés H. Mena (2014) <doi:10.1214/14-BA878> and Corradin, Danese and Ongaro (2022) <doi:10.1016/j.ijar.2021.12.019>. It also clusters different types of time dependent data with common change points, see "Model-based clustering of time-dependent observations with common structural changes" (Corradin,Danese,KhudaBukhsh and Ongaro, 2024) <doi:10.48550/arXiv.2410.09552> for details. 
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
Imports: Rcpp, salso, dplyr, tidyr, ggplot2, ggpubr
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/lucadanese/BayesChange
BugReports: https://github.com/lucadanese/BayesChange/issues
NeedsCompilation: yes
Packaged: 2025-11-11 13:53:15 UTC; danes
Author: Luca Danese [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-8444-8563>),
  Riccardo Corradin [aut],
  Andrea Ongaro [aut]
Maintainer: Luca Danese <l.danese1@campus.unimib.it>
Repository: CRAN
Date/Publication: 2025-11-11 14:30:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2025-11-11 16:38:28 UTC; unix
Archs: BayesChange.so.dSYM
