Package: wbs 1.4.1

Rafal Baranowski

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.

Authors:Rafal Baranowski [aut, cre], Piotr Fryzlewicz [aut]

wbs_1.4.1.tar.gz
wbs_1.4.1.tar.gz(r-4.7-arm64)wbs_1.4.1.tar.gz(r-4.7-x86_64)wbs_1.4.1.tar.gz(r-4.6-arm64)wbs_1.4.1.tar.gz(r-4.6-x86_64)
wbs_1.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
wbs/json (API)

# Install 'wbs' in R:
install.packages('wbs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

2.86 score 3 stars 2 packages 40 scripts 673 downloads 7 exports 0 dependencies

Last updated from:8b03281e4d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK91
linux-devel-x86_64OK111
source / vignettesOK149
linux-release-arm64OK89
linux-release-x86_64OK119
wasm-releaseOK87

Exports:changepointsfixed.intervalsmeans.between.cptrandom.intervalssbsssic.penaltywbs

Dependencies: