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.

Version: 1.0
Depends: graphics, methods, stats
Published: 2016-05-24
Author: Hongyuan Cao, Wei Biao Wu, and Shannon T. Holloway
Maintainer: Shannon T. Holloway <sthollow at ncsu.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: ChangepointTesting results

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Reference manual: ChangepointTesting.pdf
Package source: ChangepointTesting_1.0.tar.gz
Windows binaries: r-devel: ChangepointTesting_1.0.zip, r-release: ChangepointTesting_1.0.zip, r-oldrel: ChangepointTesting_1.0.zip
OS X El Capitan binaries: r-release: ChangepointTesting_1.0.tgz
OS X Mavericks binaries: r-oldrel: ChangepointTesting_1.0.tgz

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