Package: BayesChange 2.0.0
Luca Danese
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.
Authors:
BayesChange_2.0.0.tar.gz
BayesChange_2.0.0.tar.gz(r-4.5-noble)BayesChange_2.0.0.tar.gz(r-4.4-noble)
BayesChange_2.0.0.tgz(r-4.4-emscripten)BayesChange_2.0.0.tgz(r-4.3-emscripten)
BayesChange.pdf |BayesChange.html✨
BayesChange/json (API)
NEWS
| # Install 'BayesChange' in R: |
| install.packages('BayesChange', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lucadanese/bayeschange/issues
Last updated 14 days agofrom:5a9f4136b0. Checks:3 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 12 2025 |
| R-4.5-linux-x86_64 | OK | Mar 12 2025 |
| R-4.4-linux-x86_64 | OK | Mar 12 2025 |
Exports:clust_cpclust_cp_epiclust_cp_multiclust_cp_uniClustCpObjdetect_cpdetect_cp_multidetect_cp_uniDetectCpObjposterior_estimatesim_epi_data
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRdpackreformulasrlangrstatixsalsoscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
