Weighted Empirical Risk Minimization for Changepoint Regression R package weightederm version 0.1.0 R interface to the 'weightederm' package for 'Python', which provides 'scikit-learn'-style estimators for offline change point regression (data segmentation) via weighted empirical risk minimization. Supports least-squares, Huber, and logistic losses with fixed or cross-validated numbers of change points. Wraps 'Python' via 'reticulate'. Arpino and Venkataramanan (2026) <doi:10.48550/arXiv.2604.11746>. Software Imports: reticulate (>= 1.28) Suggests: testthat (>= 3.0.0) Gabriel Arpino <arpino.gabriel@gmail.com> Comprehensive R Archive Network (CRAN) Gabriel Arpino [aut, cre] Apache License (>= 2.0) 2026-04-22 application/tgz https://CRAN.R-project.org/package=weightederm doi:10.32614/CRAN.package.weightederm en-US