Smallest Valid Partitioning for Change-Point Detection R package svpChange version 0.2.0 Provides methods for detecting multiple change-points and segmenting univariate time series using Smallest Valid Partitioning (SVP). SVP searches for a partition with the smallest number of segments whose segments satisfy a user-defined or built-in validity test. Among partitions with the same number of segments, it minimizes a within-segment sum-of-squared-errors criterion. Software Imports: Rcpp (>= 1.0.10), stats LinkingTo: Rcpp, RcppArmadillo Suggests: stepR, testthat (>= 3.0.0) Vincent Runge <vincent.runge@univ-evry.fr> Comprehensive R Archive Network (CRAN) Vincent Runge [aut, cre, cph], Alexandre Combeau [aut], Gaetano Romano [aut], Anica Kostic [ctb] GPL-3 2026-09-30 application/tgz https://CRAN.R-project.org/package=svpChange doi:10.32614/CRAN.package.svpChange