Description Usage Arguments Details Value Author(s) References See Also Examples

This function accepts a matrix of simulated null p-values where each column corresponds to the p-values from a single simulated study. The null p-values should represent a subset of all the simulated p-values corresponding to the tests with no signal.

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`P` |
An m0 x B matrix of null p-values, each column corresponds to the p-values from a single simulated study. |

`alpha` |
The range of the first parameter for the prior on the beta distribution. |

`beta` |
The range of the second parameter for the prior on the beta distribution. |

`plot` |
Should diagnostic plots be displayed. |

`eps` |
Maximum integration error when computing the posterior distribution. |

The dks function performs the Bayesian and Frequentist diagnostic tests outlined in Leek and Storey (2009). The result of the function is a double Kolmogorov-Smirnov p-value as well as posterior probability of uniformity estimates for each of the studies. The p-values should be simulated from a realistic distribution and only the null p-values should be passed to the dks function.

`dkspvalue` |
The double Kolmogorov-Smirnov p-value. |

`postprob` |
A B-vector of the posterior probability that each study's null p-values are uniform. |

Jeffrey T. Leek [email protected]

J.T. Leek and J.D. Storey, "The Joint Null Distribution of Multiple Hypothesis Tests."

`pprob.uniform`

, `dks.pvalue`

, `pprob.dist`

,`cred.set`

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