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
Depends: graphics
Published: 2019-05-14
DOI: 10.32614/CRAN.package.wbs
Author: Rafal Baranowski and Piotr Fryzlewicz
Maintainer: Rafal Baranowski <package_maintenance at rbaranowski.com>
License: GPL-2
NeedsCompilation: yes
CRAN checks: wbs results [issues need fixing before 2024-10-28]

Documentation:

Reference manual: wbs.pdf

Downloads:

Package source: wbs_1.4.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.tgz, r-release (x86_64): wbs_1.4.tgz, r-oldrel (x86_64): wbs_1.4.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.