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README.md
In bcp: Bayesian Analysis of Change Point Problems
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")
Try the bcp package in your browser
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bcp documentation built on May 2, 2019, 9:16 a.m.
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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")
Try the bcp package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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