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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.
| Version: | 1.1 |
| Depends: | graphics, methods, stats |
| Published: | 2022-06-06 |
| DOI: | 10.32614/CRAN.package.ChangepointTesting |
| Author: | Hongyuan Cao, Wei Biao Wu, and Shannon T. Holloway |
| Maintainer: | Shannon T. Holloway <shannon.t.holloway at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | ChangepointTesting results |
| Reference manual: | ChangepointTesting.pdf |
| Package source: | ChangepointTesting_1.1.tar.gz |
| Windows binaries: | r-devel: ChangepointTesting_1.1.zip, r-release: ChangepointTesting_1.1.zip, r-oldrel: ChangepointTesting_1.1.zip |
| macOS binaries: | r-release (arm64): ChangepointTesting_1.1.tgz, r-oldrel (arm64): ChangepointTesting_1.1.tgz, r-release (x86_64): ChangepointTesting_1.1.tgz, r-oldrel (x86_64): ChangepointTesting_1.1.tgz |
| Old sources: | ChangepointTesting archive |
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