plis: A multiple testing procedure based on pooled LIS statistics

In PLIS: Multiplicity Control using Pooled LIS Statistic

A multiple testing procedure based on pooled LIS statistics

Description

It controls the global FDR for the pooled hypotheses from different groups

Usage

plis(lis, fdr = 0.001, adjust = TRUE)

Arguments

lis	pooled LIS statistics estimated from different groups
fdr	nominal fdr level you want to control
adjust	logical. If TRUE (the default), will calculate and return "adjusted" LIS value– the corresponding global FDR if using the LIS statistic as the significance cutoff. It may take hours if you have hundreds of thousands LISs to adjust.

Value

States	state sequence indicating if the hypotheses should be rejected or not: 0 accepted , 1 rejected
aLIS	the corresponding global FDR if using the LIS statistic as the significance cutoff

Author(s)

Wei Z, Sun W, Wang K and Hakonarson H

References

Multiple Testing in Genome-Wide Association Studies via Hidden Markov Models, Bioinformatics, 2009

See Also

see em.hmm for examples

PLIS documentation built on Oct. 2, 2022, 5:06 p.m.