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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "scanCP" in publications use:'
type: software
license: GPL-2.0-only
title: 'scanCP: Deep Learning–Based Changepoint Detection with Local Neural Models'
version: 0.1.0
doi: 10.32614/CRAN.package.scanCP
abstract: Implementation of deep learning–based changepoint detection algorithm designed
  for time series with smooth local fluctuations. The method fits localized feed‑forward
  neural networks to approximate the underlying smooth component and constructs a
  residual‑based detector that isolates abrupt structural changes. A fully data‑adaptive
  empirical cumulative distribution function (ECDF) based thresholding rule and refinement
  procedures yield accurate changepoint localization without parametric assumptions
  on noise or trend structure.
authors:
- family-names: Azizyan
  given-names: Arman
  email: arman.azizyan@gmail.com
- family-names: Safikhani
  given-names: Abolfazl
repository: https://armanazizyan.r-universe.dev
commit: 6646c6a61cd32c4ca84bfbc3aa6b46d69aef2871
date-released: '2026-05-27'
contact:
- family-names: Azizyan
  given-names: Arman
  email: arman.azizyan@gmail.com