pValueAfterMultipleTesting: Multiple testing correction procedure for ncpc()

Description Usage Arguments Value References

Description

This function is only for DDGraph with multiple testing correction enabled. The overall procedure is similar to that described in (Li&Wang 2009). This is a helper function for DDDataSet:ncpc(). The single P-value of D-separation is substituted in the list of P-values, P-values adjusted and the resulting P-value after correction in the context of other P-values reported.

Usage

1
pValueAfterMultipleTesting(dsep, x, adjC.pvals.at.n, p.value.adjust.method)

Arguments

dsep

the conditional independence test result (of type CITestResult)

x

the index of the variables

adjC.pvals.at.n

the p values associated with the variables at size n of conditioning set (list [[n]] -> [pvals])

p.value.adjust.method

the p value adjustment method (same as in p.adjust())

Value

the p value after multiple test correction (if any)

References

J. Li and Z. J Wang, "Controlling the false discovery rate of the association/causality structure learned with the PC algorithm" The Journal of Machine Learning Research 10 (2009): 475-514.



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