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BinSegBstrap  

Piecewise Smooth Regression by Bootstrapped Binary Segmentation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BinSegBstrap", "1.0-1")



Attach the package and use:
library("BinSegBstrap")
Maintained by
Pein Florian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-06
Latest Update: 2022-01-27
Description:
Provides methods for piecewise smooth regression. A piecewise smooth signal is estimated by applying a bootstrapped test recursively (binary segmentation approach). Each bootstrapped test decides whether the underlying signal is smooth on the currently considered subsegment or contains at least one further change-point.
How to cite:
Pein Florian (2019). BinSegBstrap: Piecewise Smooth Regression by Bootstrapped Binary Segmentation. R package version 1.0-1, https://cran.r-project.org/web/packages/BinSegBstrap. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0 (2019-11-06 18:40)
Other packages that cited BinSegBstrap R package
View BinSegBstrap citation profile
Other R packages that BinSegBstrap depends, imports, suggests or enhances
Complete documentation for BinSegBstrap
Functions, R codes and Examples using the BinSegBstrap R package
Some associated functions: BinSegBstrap-package . BinSegBstrap . BstrapTest . estimateSingleCp . 
Some associated R codes: BinSegBstrap.R . BstrapTest.R . RcppExports.R . estimateSingleCp.R .  Full BinSegBstrap package functions and examples
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