KWCChangepoint0.2.3 package

Robust Changepoint Detection for Functional and Multivariate Data

amoc_test

Conduct an AMOC hypothesis test

dwbs

Find changepoints using depth-based wild binary segmentation

epidemic_test

Test for an epidemic period in data

fkwc_multisample

Multisample hypothesis test for difference in covariance operators

fkwc_posthoc

Post-hoc hypothesis test for difference in covariance operators.

fkwc

Detect changepoints in functional data

fmri_changepoints

Detect changepoints in a resting state fMRI scan

KWCChangepoint-package

KWCChangepoint: Robust Changepoint Detection for Functional and Multiv...

mkwp

Find changepoints in multivariate data

uni_mean

Find mean changes in a univariate sequence

uni_scale

Find scale changes in a univariate sequence

Download source packageRead PDF manual

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.

  • Maintainer: Adeeb Rouhani
  • License: MIT + file LICENSE
  • Last published: 2025-11-26

Useful links