postCP: A package to estimate posterior probabilities and perform model selection in change-point models using constrained HMM

The functions are used for change-point problems, after an initial set of change-points within the data has already been obtained. The function postCP obtains estimates of posterior probabilities of change-point and hidden states for each observation, and confidence intervals for the positions of the change-point. The function postCPsample obtains random samples of sets of change-points using the output of the postCP function. Model selection may be performed using function postCPmodelsel through criteria obtained from function postCPcrit.

Version: 1.6.4
Depends: MASS, Segmentor3IsBack, cghseg
Published: 2013-04-04
Author: Gregory Nuel and The Minh Luong
Maintainer: The Minh Luong <the-minh.luong at parisdescartes.fr>
Contact: Gregory Nuel <gregory.nuel@parisdescartes.fr>
License: GPL (≥ 2)
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: postCP results

Downloads:

Package source: postCP_1.6.4.tar.gz
MacOS X binary: postCP_1.6.4.tgz
Windows binary: postCP_1.6.4.zip
Reference manual: postCP.pdf
Old sources: postCP archive