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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4 |
rolling source/ R- | highTtest_1.4.tar.gz |
8.7 KiB |
1.4 |
rolling linux/jammy R-4.5 | highTtest_1.4.tar.gz |
79.2 KiB |
1.4 |
rolling linux/noble R-4.5 | highTtest_1.4.tar.gz |
79.0 KiB |
1.4 |
latest source/ R- | highTtest_1.4.tar.gz |
8.7 KiB |
1.4 |
latest linux/jammy R-4.5 | highTtest_1.4.tar.gz |
79.2 KiB |
1.4 |
latest linux/noble R-4.5 | highTtest_1.4.tar.gz |
79.0 KiB |
1.4 |
2026-04-23 source/ R- | highTtest_1.4.tar.gz |
8.7 KiB |
1.4 |
2026-04-09 windows/windows R-4.5 | highTtest_1.4.zip |
82.0 KiB |
1.3 |
2025-04-20 source/ R- | highTtest_1.3.tar.gz |
8.3 KiB |