ocp: Bayesian Online Changepoint Detection

Implements the Bayesian online changepoint detection method by Adams and MacKay (2007) <arXiv:0710.3742> for univariate or multivariate data. Gaussian and Poisson probability models are implemented. Provides post-processing functions with alternative ways to extract changepoints.

Version:	0.1.1
Depends:	R (≥ 3.4.0)
Imports:	grid (≥ 3.4.0), graphics (≥ 3.4.0), grDevices (≥ 3.4.0)
Suggests:	testthat, knitr, rmarkdown
Published:	2019-04-21
Author:	Andrea Pagotto
Maintainer:	Andrea Pagotto <ajpagotto at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	ocp results

Documentation:

Reference manual:	ocp.pdf
Vignettes:	Introduction

Downloads:

Package source:	ocp_0.1.1.tar.gz
Windows binaries:	r-devel: ocp_0.1.1.zip, r-release: ocp_0.1.1.zip, r-oldrel: ocp_0.1.1.zip
macOS binaries:	r-release (arm64): ocp_0.1.1.tgz, r-oldrel (arm64): ocp_0.1.1.tgz, r-release (x86_64): ocp_0.1.1.tgz, r-oldrel (x86_64): ocp_0.1.1.tgz
Old sources:	ocp archive

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