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weightederm

Weighted Empirical Risk Minimization for Changepoint Regression

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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 weightederm_0.1.0.tar.gz 64.9 KiB
0.1.0 rolling linux/noble R-4.5 weightederm_0.1.0.tar.gz 64.8 KiB
0.1.0 rolling source/ R- weightederm_0.1.0.tar.gz 23.6 KiB
0.1.0 latest linux/jammy R-4.5 weightederm_0.1.0.tar.gz 64.9 KiB
0.1.0 latest linux/noble R-4.5 weightederm_0.1.0.tar.gz 64.8 KiB
0.1.0 latest source/ R- weightederm_0.1.0.tar.gz 23.6 KiB
0.1.0 2026-04-26 source/ R- weightederm_0.1.0.tar.gz 23.6 KiB
0.1.0 2026-04-23 source/ R- weightederm_0.1.0.tar.gz 23.6 KiB

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