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wbs  

Wild Binary Segmentation for Multiple Change-Point Detection
View on CRAN: Click here


Download and install wbs package within the R console
Install from CRAN:
install.packages("wbs")

Install from Github:
library("remotes")
install_github("cran/wbs")

Install by package version:
library("remotes")
install_version("wbs", "1.4.1")



Attach the package and use:
library("wbs")
Maintained by
Rafal Baranowski
[Scholar Profile | Author Map]
First Published: 2014-01-08
Latest Update: 2019-05-14
Description:
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.
How to cite:
Rafal Baranowski (2014). wbs: Wild Binary Segmentation for Multiple Change-Point Detection. R package version 1.4.1, https://cran.r-project.org/web/packages/wbs. Accessed 10 Jan. 2025.
Previous versions and publish date:
1.0 (2014-01-08 14:00), 1.1 (2014-01-08 15:50), 1.2 (2014-08-08 13:22), 1.3 (2015-02-16 19:23), 1.4 (2019-05-14 23:40)
Other packages that cited wbs R package
View wbs citation profile
Other R packages that wbs depends, imports, suggests or enhances
Complete documentation for wbs
Functions, R codes and Examples using the wbs R package
Some associated functions: bic.penalty . changepoints . fixed.intervals . mbic.penalty . means.between.cpt . plot.sbs . plot.wbs . print.sbs . print.wbs . random.intervals . sbs . ssic.penalty . wbs-package . wbs . 
Some associated R codes: changepoints.R . fixed.intervals.R . means.between.cpt.R . penalties.R . plot.R . print.R . random.intervals.R . sbs.R . wbs.R .  Full wbs package functions and examples
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