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Wild Binary Segmentation for Multiple Change-Point Detection

2packages dependsuggested by 2
8.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.4.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
14includes a package overview page
Examples that run
100%10 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
21%

Downloads

8.6K
CRAN downloads in the past year
Rank #5,696 · ~24/day · ~718/mo
Daily download trend is not available in this view yet.
49030 days
1.5K90 days
8.6K1 year
Compare downloads with other packages →
Also on406 r2u3 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing wbs adds no packages beyond those that come with R.

Depends (1)
graphics
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (2)
Author, Maintainer since 1.0 (2013)
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.4.1Latest
    record
    2024-11-04 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.4
    record
    2019-05-14 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.3
    record
    2015-02-16 · diff ↗ ·
    removed 1 export
    mean.from.cpt
    added 1 export
    means.between.cpt
  • 1.2
    record
    2014-08-08 · diff ↗ ·
    added 1 export
    ssic.penalty
Show 4 earlier eventsHide 4 earlier events
  • R
    R 3.1.0 released · 2014-04-10
  • 1.1
    record
    2014-01-08 · diff ↗
  • 1.0
    record
    2014-01-08
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2014-01-08
Total releases
6 / 12 yrs
License
GPL-2 OSI
Download size
15 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("wbs")
Baranowski, R., & Fryzlewicz, P. (2024). wbs: Wild Binary Segmentation for Multiple Change-Point Detection (Version 1.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.wbs

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for wbs version 1.4.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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