ecp: Non-Parametric Multiple Change-Point Analysis of Multivariate Data

Implements various procedures for finding multiple change-points from Matteson D. et al (2013) <doi:10.1080/01621459.2013.849605>, Zhang W. et al (2017) <doi:10.1109/ICDMW.2017.44>, Arlot S. et al (2019). Two methods make use of dynamic programming and pruning, with no distributional assumptions other than the existence of certain absolute moments in one method. Hierarchical and exact search methods are included. All methods return the set of estimated change- points as well as other summary information.

Version: 3.1.5
Depends: R (≥ 3.00), Rcpp
LinkingTo: Rcpp
Suggests: mvtnorm, MASS, combinat, R.rsp
Published: 2023-07-01
DOI: 10.32614/CRAN.package.ecp
Author: Nicholas A. James, Wenyu Zhang and David S. Matteson
Maintainer: Wenyu Zhang <wz258 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: ecp citation info
Materials: NEWS
In views: TimeSeries
CRAN checks: ecp results


Reference manual: ecp.pdf
Vignettes: ecp: An R Package for Nonparametric Multiple Change Point Analysis of Multivariate Data


Package source: ecp_3.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ecp_3.1.5.tgz, r-oldrel (arm64): ecp_3.1.5.tgz, r-release (x86_64): ecp_3.1.5.tgz, r-oldrel (x86_64): ecp_3.1.5.tgz
Old sources: ecp archive

Reverse dependencies:

Reverse imports: AneuFinder, CONFESS, envoutliers, ftsa, FuzzyPovertyR, ggchangepoint, RMaCzek, rplanes


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