Package: fcfdr
Title: Flexible cFDR
Version: 1.0.0
Authors@R: 
    c(person(given = "Anna",
           family = "Hutchinson",
           role = c("aut", "cre"),
           email = "annahutchinson1995@gmail.com",
           comment = c(ORCID = "0000-0002-9224-4410")),
    person("Chris", "Wallace", role = c("aut")),
    person("Thomas","Willis", role = c("ctb", "aut")),
    person("James", "Liley", role = c("ctb")))
Description: Provides functions to implement the Flexible cFDR (Hutchinson et al. (2021) <doi:10.1371/journal.pgen.1009853>) and Binary cFDR (Hutchinson et al. (2021) <doi:10.1101/2021.10.21.465274>) methodologies to leverage auxiliary data from arbitrary distributions, for example functional genomic data, with GWAS p-values to generate re-weighted p-values. 
Imports: locfdr, MASS, ggplot2, cowplot, fields, dplyr, spatstat.geom,
        polyCub, hexbin, bigsplines, data.table, grDevices, Hmisc
Suggests: stats, knitr, rmarkdown, digest, testthat (>= 3.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2022-02-03 14:23:05 UTC; anna
Author: Anna Hutchinson [aut, cre] (<https://orcid.org/0000-0002-9224-4410>),
  Chris Wallace [aut],
  Thomas Willis [ctb, aut],
  James Liley [ctb]
Maintainer: Anna Hutchinson <annahutchinson1995@gmail.com>
Repository: CRAN
Date/Publication: 2022-02-07 09:00:05 UTC
Built: R 4.6.0; ; 2026-06-04 04:33:07 UTC; windows
