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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 (2020) <doi:10.48550/arXiv.2003.03649>.

Version: 1.0
Imports: Rcpp (≥ 0.12.12), foreach, iterators, doParallel, methods, hawkes, ACDm
LinkingTo: Rcpp
Suggests: MASS
Published: 2020-03-20
DOI: 10.32614/CRAN.package.eNchange
Author: Karolos K. Korkas
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_1.0.tar.gz
Windows binaries: r-devel: eNchange_1.0.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_1.0.tgz, r-oldrel (x86_64): eNchange_1.0.tgz

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.
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