wbs: Wild Binary Segmentation for Multiple Change-Point Detection

Provides efficient implementation of the Wild Binary Segmentation and Binary Segmentation algorithms for estimation of the number and locations of multiple change-points in the piecewise constant function plus Gaussian noise model.

Version:	1.4.1
Depends:	graphics
Published:	2024-11-04
DOI:	10.32614/CRAN.package.wbs
Author:	Rafal Baranowski [aut, cre], Piotr Fryzlewicz [aut]
Maintainer:	Rafal Baranowski <package_maintenance at rbaranowski.com>
License:	GPL-2
NeedsCompilation:	yes
CRAN checks:	wbs results

Documentation:

Reference manual:

wbs.pdf

Downloads:

Package source:	wbs_1.4.1.tar.gz
Windows binaries:	r-devel: wbs_1.4.zip, r-release: wbs_1.4.zip, r-oldrel: wbs_1.4.zip
macOS binaries:	r-release (arm64): wbs_1.4.tgz, r-oldrel (arm64): wbs_1.4.1.tgz, r-release (x86_64): wbs_1.4.1.tgz, r-oldrel (x86_64): wbs_1.4.1.tgz
Old sources:	wbs archive

Reverse dependencies:

Reverse imports:	crossvalidationCP, tidychangepoint
Reverse suggests:	atime, fastcpd

Linking:

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