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

Share:

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.

Author
Hongyuan Cao [aut], Michael Kosorok [aut], Shannon Holloway [aut, cre]
Date of publication
2015-02-22 00:09:18
Maintainer
Shannon Holloway <sthollow@ncsu.edu>
License
GPL-2
Version
1.1

View on CRAN

Man pages

highTtest
Simultaneous critical values for t-tests in very high...
highTtest-class
Class '"highTtest"'
plot-methods
~~ Methods for Function 'plot' ~~
vennD-methods
~~ Methods for Function 'vennD' ~~

Files in this package

highTtest
highTtest/NAMESPACE
highTtest/R
highTtest/R/methods-venn.R
highTtest/R/methods-plot.R
highTtest/R/StoreyTibshirani.R
highTtest/R/methods-retrieve.R
highTtest/R/highTtest.R
highTtest/R/tStatistic.R
highTtest/R/All_Classes.R
highTtest/R/BenjaminiHochberg.R
highTtest/R/CaoKosorok.R
highTtest/MD5
highTtest/DESCRIPTION
highTtest/man
highTtest/man/plot-methods.Rd
highTtest/man/vennD-methods.Rd
highTtest/man/highTtest.Rd
highTtest/man/highTtest-class.Rd