ChangepointTesting
Change Point Estimation for Clustered Signals
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.
- Version1.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release06/06/2022
Team
Shannon T. Holloway
Hongyuan Cao
Wei Biao Wu
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- Depends3 packages