Package: wbsts 2.1

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>.

Authors:Karolos Korkas and Piotr Fryzlewicz

wbsts_2.1.tar.gz
wbsts_2.1.zip(r-4.7-x86_64)wbsts_2.1.zip(r-4.7-arm64)wbsts_2.1.zip(r-4.6-x86_64)wbsts_2.1.zip(r-4.6-arm64)wbsts_2.1.zip(r-4.5-x86_64)
wbsts_2.1.tgz(r-4.6-x86_64)wbsts_2.1.tgz(r-4.6-arm64)wbsts_2.1.tgz(r-4.5-x86_64)wbsts_2.1.tgz(r-4.5-arm64)
wbsts_2.1.tar.gz(r-4.7-arm64)wbsts_2.1.tar.gz(r-4.7-x86_64)wbsts_2.1.tar.gz(r-4.6-arm64)wbsts_2.1.tar.gz(r-4.6-x86_64)
wbsts_2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
wbsts/json (API)

# Install 'wbsts' in R:
install.packages('wbsts', repos = c('https://kakoko1984.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.28 score 19 scripts 330 downloads 16 exports 3 dependencies

Last updated from:4945d0b7d2. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK92
linux-devel-x86_64OK107
source / vignettesOK144
linux-release-arm64OK89
linux-release-x86_64OK103
macos-release-arm64OK90
macos-release-x86_64OK229
macos-oldrel-arm64OK132
macos-oldrel-x86_64OK251
windows-devel-arm64OK307
windows-devel-x86_64OK123
windows-release-arm64OK303
windows-release-x86_64OK92
windows-oldrel-x86_64OK78
wasm-releaseOK80

Exports:across_fipcr.rand.max.inner.prodcusumews.transfinner_prod_maxpget.thresget.thres.arhellomulti_across_fippost.processingsim.pw.arsim.pw.ar2sim.pw.armatau.funuh.wbswbs.lsw

Dependencies:mvtnormRcppwavelets