Bayesian Analysis of Change Point Problems R package bcp version 4.0.4 Provides an implementation of the product partition model described in Barry and Hartigan (2019) <doi:10.2307/2290726> 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) <doi:10.48550/arXiv.1509.00817>, allowing estimation of change point models with multivariate responses. Parallel MCMC, previously available in 'bcp' v.3.0.0, is currently not implemented. Software Depends: graphics, methods, grid Imports: Rcpp (>= 0.11.0) LinkingTo: Rcpp, RcppArmadillo Suggests: DNAcopy, coda, strucchange, vegan, ggplot2, igraph Kaiguang Zhao <zhao.1423@osu.edu> Comprehensive R Archive Network (CRAN) Xiaofei Wang [aut], Chandra Erdman [aut], John W. Emerson [aut], Kaiguang Zhao [aut, cre] GPL (>= 2) 2026-05-20 application/tgz https://CRAN.R-project.org/package=bcp doi:10.32614/CRAN.package.bcp