Description Usage Arguments Value Author(s) References See Also

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

1 |

`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. |

`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 |

Wei Z, Sun W, Wang K and Hakonarson H

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

see em.hmm for examples

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