IDetect: Isolate-Detect Method for Multiple Change-Point Detection

The IDetect provides efficient implementation of the ID methodology for the consistent estimation of the number and location of multiple change-points in one-dimensional data sequences from the ‘deterministic + noise’ model. Currently implemented scenarios are: piecewise-constant signal, piecewise-constant signal with a heavy-tailed noise, continuous piecewise-linear signal, continuous piecewise-linear signal with a heavy-tailed noise.

Version: 0.1.1
Depends: R (≥ 3.4.2)
Imports: splines
Suggests: testthat (≥ 3.0.0)
Published: 2026-05-07
DOI: 10.32614/CRAN.package.IDetect
Author: Andreas Anastasiou [aut, cre], Piotr Fryzlewicz [aut]
Maintainer: Andreas Anastasiou <anastasiou.andreas at ucy.ac.cy>
License: GPL-3
NeedsCompilation: no
Citation: IDetect citation info
Materials: NEWS
CRAN checks: IDetect results

Documentation:

Reference manual: IDetect.html , IDetect.pdf

Downloads:

Package source: IDetect_0.1.1.tar.gz
Windows binaries: r-devel: IDetect_0.1.0.zip, r-release: IDetect_0.1.0.zip, r-oldrel: IDetect_0.1.0.zip
macOS binaries: r-release (arm64): IDetect_0.1.1.tgz, r-oldrel (arm64): IDetect_0.1.1.tgz, r-release (x86_64): IDetect_0.1.1.tgz, r-oldrel (x86_64): IDetect_0.1.1.tgz
Old sources: IDetect archive

Reverse dependencies:

Reverse imports: ccid

Linking:

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