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bcp : Bayesian Analysis of Change Point Problems

Package: bcp
Type: Package
Title: Bayesian Analysis of Change Point Problems
Version: 4.0.0
Date: 2015-07-14
Author: Xiaofei Wang, Chandra Erdman, and John W. Emerson
Maintainer: John W. Emerson <john.emerson@yale.edu>
Depends: graphics, methods, grid
Suggests: DNAcopy, coda, strucchange, vegan, ggplot2, igraph
Description: Provides an implementation of the Barry and Hartigan (1993) product partition model for the normal errors change point problem using Markov Chain Monte Carlo. It also extends the methodology to regression models on a connected graph (Wang and Emerson, 2015); this allows 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 (>= 0.9.2)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2015-07-14 23:29:06 UTC; jay
Repository: CRAN
Date/Publication: 2015-07-15 13:23:42

● Data Source: CranContrib
● Cran Task View: Bayesian, HighPerformanceComputing
● 0 images, 1 functions, 13 datasets
● Reverse Depends: 0