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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 |
| DOI: | 10.32614/CRAN.package.GFisher |
| Author: | Hong Zhang and Zheyang Wu |
| Maintainer: | Hong Zhang <hzhang at wpi.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | GFisher results |
| Reference manual: | GFisher.pdf |
| Package source: | GFisher_0.2.0.tar.gz |
| Windows binaries: | r-devel: GFisher_0.2.0.zip, r-release: GFisher_0.2.0.zip, r-oldrel: GFisher_0.2.0.zip |
| macOS binaries: | r-release (arm64): GFisher_0.2.0.tgz, r-oldrel (arm64): GFisher_0.2.0.tgz, r-release (x86_64): GFisher_0.2.0.tgz, r-oldrel (x86_64): GFisher_0.2.0.tgz |
| Old sources: | GFisher archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.