Description Usage Arguments Value Author(s) See Also Examples

The function for computing the critical value based on number of hypotheses *m*, fold *k* and significant level *α*.

1 | ```
gbonf.cv(m, k, alpha)
``` |

`m` |
number of hypotheses to be tested. |

`k` |
number of allowed type 1 errors in k-FWER controls. |

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

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

) if `make.decision = FALSE`

, or a list including original p-values, adjusted p-values and decision rules if `make.decision = TRUE`

.

Yalin Zhu

`gbonf.p.adjust`

, `p.adjust`

, `Sidak.p.adjust`

.

1 2 |

allenzhuaz/MHTmult documentation built on June 1, 2017, 5:22 p.m.

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