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bcp

bcp is an R package that 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.

To install:

  • the latest released version: install.packages("bcp")
  • the latest development version: install_github("swang87/bcp")

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Version

Install

install.packages('bcp')

Monthly Downloads

365

Version

4.0.3

License

GPL (>= 2)

Maintainer

Last Published

August 13th, 2018

Functions in bcp (4.0.3)

residuals.bcp

Extract model residuals
legacyplot

Plotting univariate Bayesian change point results
summary.bcp

Summarizing Bayesian change point analysis results
makeAdjGrid

Creating the adjacency structure for grid graphs
plot.bcp

Plotting Bayesian change point results
fitted.bcp

Extract model fitted values
RealInt

US Ex-post Real Interest Rate data, 1961(1):1986(3)
bcp-package

Bayesian Analysis of Change Point Problems
interval.prob

Estimate the probability of a change point in a specified interval
bcp

Performs a Bayesian analysis of change point problems
coriell

Array CGH data set of Coriell cell lines
lombard

Milling machine indentation data
NewHavenHousing

New Haven housing data
QuebecRivers

Quebec river streamflow data