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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "weightederm" in publications use:'
type: software
license: Apache-2.0
title: 'weightederm: Weighted Empirical Risk Minimization for Changepoint Regression'
version: 0.1.0
doi: 10.32614/CRAN.package.weightederm
abstract: 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) <https://doi.org/10.48550/arXiv.2604.11746>.
authors:
- family-names: Arpino
  given-names: Gabriel
  email: arpino.gabriel@gmail.com
repository: https://gabrielarpino.r-universe.dev
repository-code: https://github.com/gabrielarpino/weightederm-r
commit: 1c90156fe5a03bb83b6ac78bb250a178cfd438cf
url: https://github.com/gabrielarpino/weightederm-r
date-released: '2026-04-21'
contact:
- family-names: Arpino
  given-names: Gabriel
  email: arpino.gabriel@gmail.com