Description Usage Arguments Value Examples
Used in the Supplementary Material. Works like Simulate_Power, but evaluaties only the Bonferroni and FGS rules in order to save time.
1 | Simulate_Power2(nsim, ncp0, ncp1,sigma0, sigma1,n0,n1,lambda,alpha)
|
nsim |
Number of simulations |
ncp0 |
Noncentrality parameter of test statistic of true hypotheses, greater or equal to 0 |
ncp1 |
Noncentrality parameter of test statistic of false hypotheses, greater or equal to 0 |
sigma0 |
Standard error of test statistic of true hypotheses, greater or equal to 0 |
sigma1 |
Standard error of test statistic of false hypotheses, greater or equal to 0 |
n0 |
Number of true hypotheses |
n1 |
Number of false hypotheses |
lambda |
Conditionalization threshold, between 0 and 1 |
alpha |
Nominal significance level |
List with rejection rates of these multiple testing procedures: Bonferroni, FGS, Conditional Bonferroni, Conditional FGS
1 | Simulate_Power2(100, 2, 2, 1, 1,15,5,0.5,0.05)
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