The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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_0.1.1.zip, r-release: IDetect_0.1.1.zip, r-oldrel: IDetect_0.1.1.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:

Please use the canonical form https://CRAN.R-project.org/package=IDetect to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.