Package: not
Type: Package
Title: Narrowest-Over-Threshold Change-Point Detection
Version: 1.6
Date: 2024-09-23
Authors@R: c(person(given = "Rafal", family = "Baranowski", role = "aut"),
             person(given = "Yining", family = "Chen", role = c("aut", "cre"), email = "y.chen101@lse.ac.uk"),
             person(given = "Piotr", family = "Fryzlewicz", role = "aut"))
Depends: graphics, stats, splines
Description: Provides efficient implementation of the Narrowest-Over-Threshold methodology for detecting an unknown number of change-points occurring at unknown locations in one-dimensional data following 'deterministic signal + noise' model. Currently implemented scenarios are: piecewise-constant signal, piecewise-constant signal with a heavy-tailed noise, piecewise-linear signal, piecewise-quadratic signal, piecewise-constant signal and with piecewise-constant variance of the noise. For details, see Baranowski, Chen and Fryzlewicz (2019) <doi:10.1111/rssb.12322>.
License: GPL-2
NeedsCompilation: yes
Repository: CRAN
Packaged: 2024-09-23 13:13:05 UTC; CHENY100
Author: Rafal Baranowski [aut],
  Yining Chen [aut, cre],
  Piotr Fryzlewicz [aut]
Maintainer: Yining Chen <y.chen101@lse.ac.uk>
Date/Publication: 2024-09-23 13:40:28 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 20:49:13 UTC; unix
Archs: not.so.dSYM
