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
Packaged: 2026-10-10 15:42:57 UTC; root
Author: Rafal Baranowski [aut], Yining Chen [aut, cre], Piotr
        Fryzlewicz [aut]
Maintainer: Yining Chen <y.chen101@lse.ac.uk>
Repository: https://ychen101.r-universe.dev
Date/Publication: 2024-09-24 03:02:41 UTC
RemoteUrl: https://github.com/cran/not
RemoteRef: HEAD
RemoteSha: 9e1b835a82fbf33dd5ee914a88c4e9c162be38e2