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.

Getting started

Package details

AuthorHongyuan Cao [aut], Michael Kosorok [aut], Shannon Holloway [aut, cre]
MaintainerShannon Holloway <sthollow@ncsu.edu>
Package repositoryView on CRAN
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highTtest documentation built on May 1, 2019, 8:19 p.m.