1-rFDR(<i>u</i>) by ranking probabilities for <i>u</i> = 200 top P-values using the distribution mean, or distribution of noncentralities for true effects where noncentralities of <i>M</i> = 100 true effects are distributed as Gamma(1,<i>b</i>).
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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(200). rankμ: 1-rFDR(200) by ranking probabilities using mean. rankbin: 1-rFDR(200) by ranking probabilities using the 3-bins approximation. rankdist: 1-rFDR(200) by ranking probabilities using the noncentrality distribution.
创建时间：
2013-12-20
