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.
Keywords for this software
References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- Shao, Qiman; Zhou, Wenxin: Self-normalization: taming a wild population in a heavy-tailed world (2017)
- Liu, Weidong; Shao, Qi-Man: Phase transition and regularized bootstrap in large-scale (t)-tests with false discovery rate control (2014)
- Cao, Hongyuan; Sun, Wenguang; Kosorok, Michael R.: The optimal power puzzle: scrutiny of the monotone likelihood ratio assumption in multiple testing (2013)
- Cao, Hongyuan; Kosorok, Michael R.: Simultaneous critical values for (t)-tests in very high dimensions (2011)