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MultipleBreakpoints  

Estimating Multiple Breakpoints for a Sequence of Realizations of Bernoulli Variables
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MultipleBreakpoints", "0.1.0")



Attach the package and use:
library("MultipleBreakpoints")
Maintained by
Nicolas Froelich
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-15
Latest Update: 2021-11-15
Description:
The iterative procedure estimates structural changes in the success probability of Bernoulli variables. It estimates the number and location of the breakpoints as well as the success probability of the different sequences between the breakpoints. In addition, it provides a graphical illustration of the result.
How to cite:
Nicolas Froelich (2021). MultipleBreakpoints: Estimating Multiple Breakpoints for a Sequence of Realizations of Bernoulli Variables. R package version 0.1.0, https://cran.r-project.org/web/packages/MultipleBreakpoints. Accessed 06 Aug. 2026.
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Complete documentation for MultipleBreakpoints
Functions, R codes and Examples using the MultipleBreakpoints R package
Some associated functions: multiple_breakpoints . plot.mBP . 
Some associated R codes: MultipleBreakpoints.R .  Full MultipleBreakpoints package functions and examples
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