KWCChangepoint: Robust Changepoint Detection for Functional and Multivariate Data

A group of functions that 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 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 WBS 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)