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


Reference manual: eNchange.pdf


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


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