wbs
1.4.1Wild Binary Segmentation for Multiple Change-Point Detection
Overview
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
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 21%
Downloads
Dependencies
Code & Tests
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.4.1Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.42019-05-14 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 1.32015-02-16 · diff ↗
- 1.22014-08-08 · diff ↗
Show 4 earlier events
- RR 3.1.0 released · 2014-04-10
- 1.12014-01-08 · diff ↗
- 1.02014-01-08
- RR 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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("wbs")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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