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Controls the median of the FDP, given a vector of test statistics.
mFDP.direc(Ts, delta=0, gamma=0.05)
The indices of the rejected hypotheses
A vector containing the test statistics T_1,...,T_m
Determines the null hypotheses H_1,...,H_m. For every j, H_j is the hypothesis that T_j has mean at most delta.
Desired upper bound for the mFDP
set.seed(123) tstats = rnorm(n=200)+1.5 #make some test statistics mFDP.direc(Ts = tstats) #indices of rejected hypotheses
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