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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "GFisher" in publications use:'
type: software
license: GPL-3.0-only
title: 'GFisher: Generalized Fisher''s Combination Tests Under Dependence'
version: 0.3.1
doi: 10.1111/biom.13634
identifiers:
- type: doi
  value: 10.32614/CRAN.package.GFisher
- type: url
  value: https://doi.org/10.1111/biom.13634
abstract: This R package provides accurate and computationally efficient methods for
  computing p-values for a general family of Fisher-type statistics (GFisher), including
  Fisher's combination, Good's statistic, and Lancaster's statistic. It supports flexible
  weighting schemes and an omnibus procedure that adapts the weights and degrees of
  freedom to the data. The package includes p-value calculation methods based on moment-ratio
  matching and joint distribution approximations. It offers both pure R implementations
  and optimized C++ code via RcppArmadillo for improved performance on large-scale
  data. For fast calculations under independence, the optional 'coga' package is required
  for functions with the '_ind' suffix.
authors:
- family-names: Zhang
  given-names: Hong
  email: consistencyzhang@gmail.com
- family-names: Wu
  given-names: Zheyang
  email: zheyangwu@wpi.edu
preferred-citation:
  type: article
  title: The generalized Fisher's combination and accurate p-value calculation under
    dependence
  authors:
  - family-names: Zhang
    given-names: Hong
    email: consistencyzhang@gmail.com
  - family-names: Wu
    given-names: Zheyang
    email: zheyangwu@wpi.edu
  journal: Biometrics
  year: '2022'
  volume: '79'
  issue: '2'
  doi: 10.1111/biom.13634
  start: '1159'
  end: '1172'
repository: https://zwulab.r-universe.dev
repository-code: https://github.com/ZWuLab/GFisher
commit: 1d88b2002d847690b0a0211c543f6c8cadd0df4f
url: https://zwulab.github.io/GFisher/
date-released: '2026-09-02'
contact:
- family-names: Wu
  given-names: Zheyang
  email: zheyangwu@wpi.edu