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: |
1.3 |
| Depends: |
methods |
| Suggests: |
colorfulVennPlot |
| Published: |
2022-06-06 |
| Author: |
Hongyuan Cao [aut],
Michael Kosorok [aut],
Shannon T. Holloway [aut, cre] |
| Maintainer: |
Shannon T. Holloway <shannon.t.holloway at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
highTtest results |
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