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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 |
| Reference manual: | highTtest.pdf |
| Package source: | highTtest_1.3.tar.gz |
| Windows binaries: | r-devel: highTtest_1.3.zip, r-release: highTtest_1.3.zip, r-oldrel: highTtest_1.3.zip |
| macOS binaries: | r-release (arm64): highTtest_1.3.tgz, r-oldrel (arm64): highTtest_1.3.tgz, r-release (x86_64): highTtest_1.3.tgz, r-oldrel (x86_64): highTtest_1.3.tgz |
| Old sources: | highTtest archive |
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These binaries (installable software) and packages are in development.
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