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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
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Package details |
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| Author | Hongyuan Cao [aut], Michael Kosorok [aut], Shannon Holloway [aut, cre] |
| Maintainer | Shannon Holloway <sthollow@ncsu.edu> |
| License | GPL-2 |
| Version | 1.1 |
| Package repository | View on CRAN |
| Installation |
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