Package: bcp Type: Package Title: Bayesian Analysis of Change Point Problems Version: 4.0.4 Date: 2026-05-12 Authors@R: c(person(given = "Xiaofei", family = "Wang", role = "aut" ), person(given = "Chandra", family = "Erdman", role = "aut"), person(given = c("John", "W."), family = "Emerson", role = "aut"), person(given = "Kaiguang", family = "Zhao", role = c("aut", "cre"), email = "zhao.1423@osu.edu") ) Depends: graphics, methods, grid Suggests: DNAcopy, coda, strucchange, vegan, ggplot2, igraph Description: Provides an implementation of the product partition model described in Barry and Hartigan (2019) for the normal errors change point problem using Markov Chain Monte Carlo (MCMC). It also extends the methodology to regression models on a connected graph as reported in Wang and Emerson (2015) , allowing estimation of change point models with multivariate responses. Parallel MCMC, previously available in 'bcp' v.3.0.0, is currently not implemented. License: GPL (>= 2) Imports: Rcpp (>= 0.11.0) LinkingTo: Rcpp, RcppArmadillo LazyData: true LazyLoad: true NeedsCompilation: yes URL: https://github.com/zhaokg/bcp BugReports: https://github.com/zhaokg/bcp/issues Encoding: UTF-8 Packaged: 2026-10-29 08:58:15 UTC; root Author: Xiaofei Wang [aut], Chandra Erdman [aut], John W. Emerson [aut], Kaiguang Zhao [aut, cre] Maintainer: Kaiguang Zhao Repository: https://cran.r-universe.dev Date/Publication: 2026-05-20 08:50:10 UTC RemoteUrl: https://github.com/cran/bcp RemoteRef: HEAD RemoteSha: fef27f979a2336a16ec6a55eeb1c2a05d7c32e7b