BayesChange: Bayesian Methods for Change Points Analysis

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.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-02-13
DOI: 10.32614/CRAN.package.BayesChange
Author: Luca Danese ORCID iD [aut, cre, cph], Riccardo Corradin [aut], Andrea Ongaro [aut]
Maintainer: Luca Danese <l.danese1 at campus.unimib.it>
BugReports: https://github.com/lucadanese/BayesChange/issues
License: GPL (≥ 3)
URL: https://github.com/lucadanese/BayesChange
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: BayesChange results [issues need fixing before 2025-02-27]

Documentation:

Reference manual: BayesChange.pdf
Vignettes: tutorial (source, R code)

Downloads:

Package source: BayesChange_1.1.0.tar.gz
Windows binaries: r-devel: BayesChange_1.1.0.zip, r-release: not available, r-oldrel: BayesChange_1.1.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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