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.

Install the latest version of this package by entering the following in R:
install.packages("highTtest")
AuthorHongyuan Cao [aut], Michael Kosorok [aut], Shannon Holloway [aut, cre]
Date of publication2015-02-22 00:09:18
MaintainerShannon Holloway <sthollow@ncsu.edu>
LicenseGPL-2
Version1.1

View on CRAN

Functions

BH Man page
BH,highTtest Man page
BH,highTtest-method Man page
CK Man page
CK,highTtest Man page
CK,highTtest-method Man page
highTtest Man page
highTtest-class Man page
pi_alt Man page
pi_alt,highTtest Man page
pi_alt,highTtest-method Man page
plot,ANY-method Man page
plot,highTtest Man page
plot,highTtest-method Man page
plot-methods Man page
pvalue Man page
pvalue,highTtest Man page
pvalue,highTtest-method Man page
ST Man page
ST,highTtest Man page
ST,highTtest-method Man page
vennD Man page
vennD,highTtest Man page
vennD,highTtest,numeric-method Man page
vennD-methods Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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