changepoint: An R Package for Changepoint Analysis
Rebecca Killick and
Idris A. Eckley
Journal of Statistical Software, 2014, vol. 058, issue i03
Abstract:
One of the key challenges in changepoint analysis is the ability to detect multiple changes within a given time series or sequence. The changepoint package has been developed to provide users with a choice of multiple changepoint search methods to use in conjunction with a given changepoint method and in particular provides an implementation of the recently proposed PELT algorithm. This article describes the search methods which are implemented in the package as well as some of the available test statistics whilst highlighting their application with simulated and practical examples. Particular emphasis is placed on the PELT algorithm and how results differ from the binary segmentation approach.
Date: 2014-06-25
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (60)
Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v058i03/v58i03.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... gepoint_1.1.5.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v058i03/v58i03.R
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:058:i03
DOI: 10.18637/jss.v058.i03
Access Statistics for this article
Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis
More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().