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hochbergd() computes the Hochberg procedure with different alphas for different endpoints.
hochbergd()
hochbergd(pvalues, alpha, epsilon = 1e-10, precision = 10)
List with element named decisions containing an index of rejected hypotheses.
decisions
Numeric vector of p-values from different endpoints.
Numeric vector of alpha values for the different endpoints. Vector must be same length as pvalues.
pvalues
Numeric scalar indicating the lower bound for alpha.
Integer scalar of the desired number of digits to be used.
Xiaodong Luo
hochbergd( pvalues = runif(5), alpha = seq(0.01, 0.025, len = 5), epsilon = 1.0e-10, precision = 10 )
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