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: | 1.1.1 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp |
LinkingTo: | Rcpp, RcppArmadillo, RcppGSL |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2025-02-14 |
DOI: | 10.32614/CRAN.package.BayesChange |
Author: | Luca Danese |
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 |
Reference manual: | BayesChange.pdf |
Vignettes: |
tutorial (source, R code) |
Package source: | BayesChange_1.1.1.tar.gz |
Windows binaries: | r-devel: BayesChange_1.1.1.zip, r-release: BayesChange_1.1.1.zip, r-oldrel: BayesChange_1.1.1.zip |
macOS binaries: | r-devel (arm64): BayesChange_1.1.1.tgz, r-release (arm64): BayesChange_1.1.1.tgz, r-oldrel (arm64): BayesChange_1.1.1.tgz, r-devel (x86_64): BayesChange_1.1.1.tgz, r-release (x86_64): BayesChange_1.1.1.tgz, r-oldrel (x86_64): BayesChange_1.1.1.tgz |
Old sources: | BayesChange archive |
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