1-rFDR(u) by ranking probabilities for u = 100 top P-values using the distribution mean, or distribution of noncentralities for true effects where noncentralities of M = 100 true effects are distributed as Gamma(1,b).
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资源简介：
K: number of tests.b: scale parameter of Gamma to model noncentralities for true effects (shape parameter is fixed at 1).true: simulation-based 1-rFDR(100).rankμ: 1-rFDR(100) by ranking probabilities using mean.rankbin: 1-rFDR(100) by ranking probabilities using the 3-bins approximation.rankdist: 1-rFDR(100) by ranking probabilities using the noncentrality distribution.
创建时间：
2015-12-02
