fdr_cut: Threshold the posterior inclusion probability (PIP) through...

In BDMMAcorrect: Meta-analysis for the metagenomic read counts data from different cohorts

Description

Threshold the posterior inclusion probability (PIP) through control Bayesian false discovery rate (bFDR).

Usage

fdr_cut(PIP_vec, alpha = 0.1)

Arguments

PIP_vec	A vector contains the PIPs of parameters
alpha	The level of the bFDR to need to control (default = 0.1)

Value

The cutoff for PIPs to control the bFDR with the user defined value, alpha.

Examples

data(L_mean)
cutoff <- fdr_cut(L_mean, alpha = 0.1)

Example output

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BDMMAcorrect documentation built on Nov. 8, 2020, 5:50 p.m.