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) <doi:10.48550/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:

Reference manual:

GFisher.pdf

Downloads:

Package source:	GFisher_0.2.0.tar.gz
Windows binaries:	r-prerel: GFisher_0.2.0.zip, r-release: GFisher_0.2.0.zip, r-oldrel: GFisher_0.2.0.zip
macOS binaries:	r-prerel (arm64): GFisher_0.2.0.tgz, r-release (arm64): GFisher_0.2.0.tgz, r-oldrel (arm64): GFisher_0.2.0.tgz, r-prerel (x86_64): GFisher_0.2.0.tgz, r-release (x86_64): GFisher_0.2.0.tgz
Old sources:	GFisher archive

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