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ChangepointTesting  

Change Point Estimation for Clustered Signals
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ChangepointTesting", "1.1")



Attach the package and use:
library("ChangepointTesting")
Maintained by
Shannon T. Holloway
[Scholar Profile | Author Map]
First Published: 2016-05-24
Latest Update: 2022-06-06
Description:
A multiple testing procedure for clustered alternative hypotheses. It is assumed that the p-values under the null hypotheses follow U(0,1) and that the distributions of p-values from the alternative hypotheses are stochastically smaller than U(0,1). By aggregating information, this method is more sensitive to detecting signals of low magnitude than standard methods. Additionally, sporadic small p-values appearing within a null hypotheses sequence are avoided by averaging on the neighboring p-values.
How to cite:
Shannon T. Holloway (2016). ChangepointTesting: Change Point Estimation for Clustered Signals. R package version 1.1, https://cran.r-project.org/web/packages/ChangepointTesting. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0 (2016-05-24 05:38)
Other packages that cited ChangepointTesting R package
View ChangepointTesting citation profile
Other R packages that ChangepointTesting depends, imports, suggests or enhances
Complete documentation for ChangepointTesting
Functions, R codes and Examples using the ChangepointTesting R package
Some associated functions: ChangepointTesting-package . changePoint-class . changePoint . 
Some associated R codes: All-Classes.R . BHmethod.R . changePoint.R . methods-retrieve.R . zhang.R .  Full ChangepointTesting package functions and examples
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