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.
Version: 1.0.0 Depends: R (≥ 3.5.0) 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) Published: 2022-02-07 DOI: 10.32614/CRAN.package.fcfdr Author: Anna Hutchinson [aut, cre], Chris Wallace [aut], Thomas Willis [ctb, aut], James Liley [ctb] Maintainer: Anna Hutchinson <annahutchinson1995 at gmail.com> License: MIT + file LICENSE NeedsCompilation: no Materials: README NEWS CRAN checks: fcfdr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fcfdr to link to this page.
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