highTtest: Simultaneous Critical Values for t-Tests in Very High Dimensions

Implements the method developed by Cao and Kosorok (2011) for the significance analysis of thousands of features in high-dimensional biological studies. It is an asymptotically valid data-driven procedure to find critical values for rejection regions controlling the k-familywise error rate, false discovery rate, and the tail probability of false discovery proportion.

Version: 1.3
Depends: methods
Suggests: colorfulVennPlot
Published: 2022-06-06
DOI: 10.32614/CRAN.package.highTtest
Author: Hongyuan Cao [aut], Michael Kosorok [aut], Shannon T. Holloway [aut, cre]
Maintainer: Shannon T. Holloway <shannon.t.holloway at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: highTtest results


Reference manual: highTtest.pdf


Package source: highTtest_1.3.tar.gz
Windows binaries: r-devel: highTtest_1.3.zip, r-release: highTtest_1.3.zip, r-oldrel: highTtest_1.3.zip
macOS binaries: r-release (arm64): highTtest_1.3.tgz, r-oldrel (arm64): highTtest_1.3.tgz, r-release (x86_64): highTtest_1.3.tgz, r-oldrel (x86_64): highTtest_1.3.tgz
Old sources: highTtest archive


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