KWCChangepoint: Robust Changepoint Detection for Functional and Multivariate Data

Detect and test for changes in covariance structures of functional data, as well as changepoint detection for multivariate data more generally. Method for detecting non-stationarity in resting state functional Magnetic Resonance Imaging (fMRI) scans as seen in Ramsay, K., & Chenouri, S. (2025) <doi:10.1080/10485252.2025.2503891> is implemented in fmri_changepoints(). Also includes depth- and rank-based implementation of the wild binary segmentation algorithm for detecting multiple changepoints in multivariate data.

Version:	0.2.3
Depends:	R (≥ 4.1)
Imports:	ddalpha, fda.usc, tibble, Rcpp (≥ 1.0.12)
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	testthat (≥ 3.0.0)
Published:	2025-11-26
DOI:	10.32614/CRAN.package.KWCChangepoint
Author:	Adeeb Rouhani [aut, cre, cph], Kelly Ramsay [aut]
Maintainer:	Adeeb Rouhani <adeeb.rouhani at gmail.com>
BugReports:	https://github.com/adeeb99/KWCChangepoint/issues
License:	MIT + file LICENSE
URL:	https://github.com/adeeb99/KWCChangepoint, https://adeeb99.github.io/KWCChangepoint/
NeedsCompilation:	yes
SystemRequirements:	C++17
Materials:	README, NEWS
CRAN checks:	KWCChangepoint results

Documentation:

Reference manual:

KWCChangepoint.html , KWCChangepoint.pdf

Downloads:

Package source:	KWCChangepoint_0.2.3.tar.gz
Windows binaries:	r-devel: KWCChangepoint_0.2.3.zip, r-release: KWCChangepoint_0.2.3.zip, r-oldrel: KWCChangepoint_0.2.3.zip
macOS binaries:	r-release (arm64): KWCChangepoint_0.2.3.tgz, r-oldrel (arm64): KWCChangepoint_0.2.3.tgz, r-release (x86_64): KWCChangepoint_0.2.3.tgz, r-oldrel (x86_64): KWCChangepoint_0.2.3.tgz

Linking:

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