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

Necessary or sufficient bounds for significance of the harmonic mean chi-squared test are computed for n one-sided p-values.

1 | ```
pvalueBound(alpha, n, type = c("necessary", "sufficient"))
``` |

`alpha` |
Numeric vector specifying the significance level. |

`n` |
The number of p-values. |

`type` |
Either "necessary" (default) or "sufficient". If "necessary", the necessary bounds are computed. If "sufficient", the sufficient bounds are computed. |

The bound for the p-values.

Leonhard Held

Held, L. (2020). The harmonic mean chi-squared test to substantiate
scientific findings. *Journal of the Royal Statistical Society: Series C
(Applied Statistics)*, **69**, 697-708. doi: 10.1111/rssc.12410

1 2 | ```
pvalueBound(alpha = 0.025^2, n = 2, type = "necessary")
pvalueBound(alpha = 0.025^2, n = 2, type = "sufficient")
``` |

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