stat.GFisher | R Documentation |

Generalized Fisher's p-value combination statistic.

stat.GFisher(p, df = 2, w = 1)

`p` |
- vector of input p-values. |

`df` |
- vector of degrees of freedom for inverse chi-square transformation for each p-value. If all df's are equal, it can be defined by the constant. |

`w` |
- vector of weights. |

GFisher statistic sum_i w_i*qchisq(1 - p_i, df_i).

Hong Zhang and Zheyang Wu. "Accurate p-Value Calculation for Generalized Fisher's Combination Tests Under Dependence", <arXiv:2003.01286>.

n = 10 pval = runif(n) stat.GFisher(pval, df=2, w=1) stat.GFisher(pval, df=rep(2,n), w=rep(1,n)) stat.GFisher(pval, df=1:n, w=1:n)

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