GFisher: Generalized Fisher's Combination Tests Under Dependence
Accurate and computationally efficient p-value calculation methods for a general family of Fisher type statistics (GFisher). The GFisher covers Fisher's combination, Good's statistic, Lancaster's statistic, weighted Z-score combination, etc. It allows a flexible weighting scheme, as well as an omnibus procedure that automatically adapts proper weights and degrees of freedom to a given data. The new p-value calculation methods are based on novel ideas of moment-ratio matching and joint-distribution approximation. The technical details can be found in Hong Zhang and Zheyang Wu (2020) <arXiv:2003.01286>.
Version: |
0.2.0 |
Imports: |
stats, methods, Matrix, mvtnorm |
Published: |
2022-03-02 |
Author: |
Hong Zhang and Zheyang Wu |
Maintainer: |
Hong Zhang <hzhang at wpi.edu> |
License: |
GPL-2 |
NeedsCompilation: |
no |
CRAN checks: |
GFisher results |
Documentation:
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