Other packages > Find by keyword >

npwbs  

Nonparametric Multiple Change Point Detection Using Wild Binary Segmentation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("npwbs", "0.5.0")



Attach the package and use:
library("npwbs")
Maintained by
Gordon J. Ross
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-02
Latest Update: 2021-07-06
Description:
Implements the procedure from G. J. Ross (2021) - "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation" . This uses a version of Wild Binary Segmentation to detect multiple location-scale (i.e. mean and/or variance) change points in a sequence of univariate observations, with a strict control on the probability of incorrectly detecting a change point in a sequence which does not contain any.
How to cite:
Gordon J. Ross (2021). npwbs: Nonparametric Multiple Change Point Detection Using Wild Binary Segmentation. R package version 0.5.0, https://cran.r-project.org/web/packages/npwbs. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-10-06 06:20), 0.1.0 (2021-07-02 09:00), 0.2.0 (2021-07-06 18:00), 0.3.0 (2026-05-02 20:30), 0.4.0 (2026-07-28 10:20), 0.5.0 (2026-08-04 10:50)
Other packages that cited npwbs R package
View npwbs citation profile
Other R packages that npwbs depends, imports, suggests or enhances
Complete documentation for npwbs
Functions, R codes and Examples using the npwbs R package
Some associated functions: detectChanges . 
Some associated R codes: package-functions.R .  Full npwbs package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA