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These function accept a vector of p-values and vector indicating batch of p-values It produces a vector of alpha values.

Usage

alpha_investing(pval, batch, nodesize, thealpha = 0.05, thew0 = 0.05 - 0.001)

Arguments

pval

Is a numeric vector of p-values

batch

A character or factor or even numeric vector indicating grouping among the p-values and the order of the p-values. The first element pval and first element of batch should be the first p-value produced in the tree and the subsequent p-values should be produced on the children of that root (or children of the children of the root, etc.)

nodesize

Is vector indicating the information used to create each p-value. For example, it could be the number of observations, or a weighted version.

thealpha

Is the overall error rate for a given test

thew0

Is the starting "wealth" of the alpha investing procedure

Value

A vector of alpha values