Package: not
Type: Package
Title: Narrowest-Over-Threshold Change-Point Detection
Version: 1.5
Date: 2023-01-31
Author: Rafal Baranowski, Yining Chen, Piotr Fryzlewicz
Maintainer: Yining Chen <Y.Chen101@lse.ac.uk>
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: 2023-02-01 23:23:32 UTC; chen
Date/Publication: 2023-02-01 23:40:02 UTC
Built: R 4.2.0; aarch64-apple-darwin20; 2023-04-01 14:22:42 UTC; unix
Archs: not.so.dSYM
