The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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.pdf

Downloads:

Package source: eNchange_1.1.tar.gz
Windows binaries: r-devel: eNchange_1.1.zip, r-release: eNchange_1.0.zip, r-oldrel: eNchange_1.0.zip
macOS binaries: r-release (arm64): eNchange_1.0.tgz, r-oldrel (arm64): eNchange_1.0.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 form https://CRAN.R-project.org/package=eNchange to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.