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.

Links

• GitHub: https://github.com/adeeb99/KWCChangepoint

• Bug reports: https://github.com/adeeb99/KWCChangepoint/issues

See also

Useful links:

• https://github.com/adeeb99/KWCChangepoint

• https://adeeb99.github.io/KWCChangepoint/

• Report bugs at https://github.com/adeeb99/KWCChangepoint/issues

Author

Maintainer: Adeeb Rouhani adeeb.rouhani@gmail.com (ORCID) [copyright holder]

Authors:

• Kelly Ramsay (ORCID)