Package: GFisher
Type: Package
Title: Generalized Fisher's Combination Tests Under Dependence
Version: 0.3.1
Date: 2026-09-02
Authors@R: c(
    person("Hong", "Zhang", email = "consistencyzhang@gmail.com", role = "aut"),
    person("Zheyang", "Wu", email = "zheyangwu@wpi.edu", role = c("aut", "cre"))
    )
Description: 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.
URL: https://zwulab.github.io/GFisher/,
        https://github.com/ZWuLab/GFisher,
        https://doi.org/10.1111/biom.13634
BugReports: https://github.com/ZWuLab/GFisher/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: Rcpp, stats, mvtnorm, Matrix
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, microbenchmark, coga
VignetteBuilder: knitr
RoxygenNote: 7.3.1
Repository: https://zwulab.r-universe.dev
Date/Publication: 2026-09-02 21:30:17 UTC
RemoteUrl: https://github.com/zwulab/gfisher
RemoteRef: HEAD
RemoteSha: 1d88b2002d847690b0a0211c543f6c8cadd0df4f
NeedsCompilation: yes
Packaged: 2026-10-10 13:50:04 UTC; root
Author: Hong Zhang [aut],
  Zheyang Wu [aut, cre]
Maintainer: Zheyang Wu <zheyangwu@wpi.edu>