plis {PLIS} | R Documentation |
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
[Package PLIS version 1.2 Index]