Robust Changepoint Detection for Functional and Multivariate Data R package KWCChangepoint version 0.2.3 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. Software Depends: R (>= 4.1) Imports: ddalpha, fda.usc, tibble, Rcpp (>= 1.0.12) LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0) Adeeb Rouhani <adeeb.rouhani@gmail.com> Comprehensive R Archive Network (CRAN) Adeeb Rouhani [aut, cre, cph] (ORCID: <https://orcid.org/0009-0007-5294-2226>), Kelly Ramsay [aut] (ORCID: <https://orcid.org/0000-0001-5615-2052>) MIT + file LICENSE (https://CRAN.R-project.org/package=KWCChangepoint/LICENSE) 2025-11-26 application/tgz https://CRAN.R-project.org/package=KWCChangepoint doi:10.32614/CRAN.package.KWCChangepoint