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 |
Reference manual: | fcfdr.pdf |
Vignettes: |
Extra Information Introductory vignette LDAK vignette T1D Application |
Package source: | fcfdr_1.0.0.tar.gz |
Windows binaries: | r-devel: fcfdr_1.0.0.zip, r-release: fcfdr_1.0.0.zip, r-oldrel: fcfdr_1.0.0.zip |
macOS binaries: | r-release (arm64): fcfdr_1.0.0.tgz, r-oldrel (arm64): fcfdr_1.0.0.tgz, r-release (x86_64): fcfdr_1.0.0.tgz, r-oldrel (x86_64): fcfdr_1.0.0.tgz |
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