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

The function for calculating the adjusted p-values based on original available p-values and all attaianble p-values.

1 | ```
MBL.p.adjust(p, p.set, alpha, make.decision)
``` |

`p` |
numeric vector of p-values (possibly with |

`p.set` |
a list of numeric vectors, where each vector is the vector of all attainable p-values containing the available p-value for the corresponding hypothesis. |

`alpha` |
significant level used to compare with adjusted p-values to make decisions, the default value is 0.05. |

`make.decision` |
logical; if |

A numeric vector of the adjusted p-values (of the same length as `p`

).

The MBL procedure for discrete data controls FDR under the specific dependence assumption where the joint distribution of statistics from true nulls are independent of the joint distribution of statistics from false nulls.

Yalin Zhu

Benjamini, Y., and Liu, W. (1999).
A step-down multiple hypotheses testing procedure that controls the false discovery rate under independence.
*Journal of Statistical Planning and Inference*, **82**: 163-170.

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MHTdiscrete documentation built on Nov. 23, 2017, 9:03 a.m.

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