Package: scanCP
Type: Package
Title: Deep Learning–Based Changepoint Detection with Local Neural
        Models
Version: 0.1.0
Authors@R: c(
    person(
      "Arman", "Azizyan",
      email = "arman.azizyan@gmail.com",
      role = c("aut", "cre")),
    person(
      "Abolfazl", "Safikhani",
      role = "aut"))
Description: 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.
License: GPL-2
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: plotly, RSNNS, foreach, doSNOW, parallel, pracma, stats,
        magrittr, tidyr
NeedsCompilation: no
Packaged: 2026-05-27 18:21:15 UTC; arman
Author: Arman Azizyan [aut, cre],
  Abolfazl Safikhani [aut]
Maintainer: Arman Azizyan <arman.azizyan@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-30 13:40:08 UTC
Built: R 4.6.0; ; 2026-05-30 17:14:02 UTC; unix
