BlockPositiveCF: Critical Function for Hierarchical FDR Controlling Procedure...

Description Usage Arguments Value Author(s) References

View source: R/hiercv.R

Description

Given some parameters of the descendant hypotheses, return the critical function using the generalized hierarchical FDR controlling procedure under block positive dependence (see Theorem 3 in Lynch et al. (2016)).

Usage

1
BlockPositiveCF(isTested, mi, li, l, alpha, rOffset)

Arguments

isTested

logical; if TRUE (default), then the i-th hypotheses H_i will be tested; otherwise, H_i will not be tested.

mi

the cardinality of the set of descendant hypotheses H_i.

li

the number of leaf hypotheses in the set of descendant hypotheses H_i.

l

the total number of leaf hypotheses.

alpha

the significant level used to calculate the critical values to make decisions.

rOffset

the offset increment for the number of rejections.

Value

A critical function of the index i and rejection number R.

Author(s)

Yalin Zhu

References

Lynch, G., Guo, W. (2016). On Procedures Controlling the FDR for Testing Hierarchically Ordered Hypotheses. arXiv preprint arXiv:1612.04467.


allenzhuaz/MHThier documentation built on June 1, 2017, 5:22 p.m.