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wbsts: Multiple Change-Point Detection for Nonstationary Time Series

Implements detection for the number and locations of the change-points in a time series using the Wild Binary Segmentation and the Locally Stationary Wavelet model of Korkas and Fryzlewicz (2017) <doi:10.5705/ss.202015.0262>.

Version:2.1
Depends:mvtnorm,wavelets, R (≥ 3.0.0)
Imports:Rcpp (≥ 0.12.12)
LinkingTo:Rcpp
Published:2020-06-12
DOI:10.32614/CRAN.package.wbsts
Author:Karolos Korkas and Piotr Fryzlewicz
Maintainer:Karolos Korkas <kkorkas at yahoo.co.uk>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
CRAN checks:wbsts results

Documentation:

Reference manual:wbsts.html ,wbsts.pdf

Downloads:

Package source: wbsts_2.1.tar.gz
Windows binaries: r-devel:wbsts_2.1.zip, r-release:wbsts_2.1.zip, r-oldrel:wbsts_2.1.zip
macOS binaries: r-release (arm64):wbsts_2.1.tgz, r-oldrel (arm64):wbsts_2.1.tgz, r-release (x86_64):wbsts_2.1.tgz, r-oldrel (x86_64):wbsts_2.1.tgz
Old sources: wbsts archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=wbststo link to this page.


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