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eNchange: Ensemble Methods for Multiple Change-Point Detection

Implements a segmentation algorithm for multiple change-point detection in univariate time series using the Ensemble Binary Segmentation of Korkas (2022) <Journal of the Korean Statistical Society, 51(1), pp.65-86.>.

Version:1.1
Imports:Rcpp (≥ 0.12.12),foreach,iterators,doParallel, methods,hawkes,ACDm
LinkingTo:Rcpp
Suggests:MASS
Published:2025-06-24
DOI:10.32614/CRAN.package.eNchange
Author:Karolos K. Korkas [aut, cre]
Maintainer:Karolos K. Korkas <kkorkas at yahoo.co.uk>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
CRAN checks:eNchange results

Documentation:

Reference manual:eNchange.html ,eNchange.pdf

Downloads:

Package source: eNchange_1.1.tar.gz
Windows binaries: r-devel:eNchange_1.1.zip, r-release:eNchange_1.1.zip, r-oldrel:eNchange_1.1.zip
macOS binaries: r-release (arm64):eNchange_1.1.tgz, r-oldrel (arm64):eNchange_1.1.tgz, r-release (x86_64):eNchange_1.1.tgz, r-oldrel (x86_64):eNchange_1.1.tgz
Old sources: eNchange archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=eNchangeto link to this page.


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