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:	1.2
Depends:	methods
Suggests:	colorfulVennPlot
Published:	2022-01-12
Author:	Hongyuan Cao [aut], Michael Kosorok [aut], Shannon Holloway [aut, cre]
Maintainer:	Shannon Holloway <sthollow at ncsu.edu>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	highTtest results

Documentation:

Reference manual:

highTtest.pdf

Downloads:

Package source:	highTtest_1.2.tar.gz
Windows binaries:	r-devel: highTtest_1.2.zip, r-release: highTtest_1.2.zip, r-oldrel: highTtest_1.2.zip
macOS binaries:	r-release (arm64): highTtest_1.2.tgz, r-oldrel (arm64): highTtest_1.2.tgz, r-release (x86_64): highTtest_1.2.tgz, r-oldrel (x86_64): highTtest_1.2.tgz
Old sources:	highTtest archive

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