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Calculates bounding sequence of higher crticism for proportion estimator using p-values
bounding.seq(p.value, alpha)
A matrix of p-values from permutation: row is from each permutation; column is from each variable.
Probability of Type I error for bounding sequence, the default value is 1 / sqrt(log(p)), where p is number of p-values in each permutation.
A bounding value of higher criticism with (1 - alpha) confidence.
jeng2019efficientHCTR
# NOT RUN { set.seed(10) X <- matrix(runif(n = 10000, min = 0, max = 1), nrow = 100) result <- bounding.seq(p.value = X) # }
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