Package: IDetect
Type: Package
Title: Isolate-Detect Methodology for Multiple Change-Point Detection
Version: 0.1.0
Depends: R (>= 3.3.0)
Imports: splines
Authors@R: c(person("Andreas", "Anastasiou", email = "a.anastasiou@lse.ac.uk", role = c("aut", "cre")),
        person("Piotr", "Fryzlewicz", email = "p.fryzlewicz@lse.ac.uk", role = "aut"))
Description: Provides efficient implementation of the Isolate-Detect
    methodology for the consistent estimation of the number and location of multiple 
    change-points in one-dimensional data sequences from the "deterministic 
    + noise" model. For details on the Isolate-Detect methodology, please see Anastasiou and
    Fryzlewicz (2018) <https://docs.wixstatic.com/ugd/24cdcc_6a0866c574654163b8255e272bc0001b.pdf>.
    Currently implemented scenarios are: piecewise-constant signal with Gaussian
    noise, piecewise-constant signal with heavy-tailed noise, continuous piecewise-linear 
    signal with Gaussian noise, continuous piecewise-linear signal with heavy-tailed noise.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2018-03-07 14:50:13 UTC; ANASTAS7
Author: Andreas Anastasiou [aut, cre],
  Piotr Fryzlewicz [aut]
Maintainer: Andreas Anastasiou <a.anastasiou@lse.ac.uk>
Repository: CRAN
Date/Publication: 2018-03-09 10:02:07 UTC
Built: R 4.6.0; ; 2026-04-25 17:25:55 UTC; unix
