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: 0.1.0
Imports: stats, Matrix, mvtnorm
Published: 2021-01-22
Author: Hong Zhang
Maintainer: Hong Zhang <hzhang at wpi.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: GFisher results

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Reference manual: GFisher.pdf
Package source: GFisher_0.1.0.tar.gz
Windows binaries: r-devel: GFisher_0.1.0.zip, r-release: GFisher_0.1.0.zip, r-oldrel: GFisher_0.1.0.zip
macOS binaries: r-release (arm64): GFisher_0.1.0.tgz, r-release (x86_64): GFisher_0.1.0.tgz, r-oldrel: GFisher_0.1.0.tgz

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