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) ) and Binary cFDR (Hutchinson et al. (2021) ) 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 Roxygen: list(markdown = TRUE) RoxygenNote: 7.1.2 VignetteBuilder: knitr Depends: R (>= 3.5.0) Config/testthat/edition: 3 NeedsCompilation: no Packaged: 2026-06-19 07:18:34 UTC; root Author: Anna Hutchinson [aut, cre] (), Chris Wallace [aut], Thomas Willis [ctb, aut], James Liley [ctb] Maintainer: Anna Hutchinson Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://annahutch.r-universe.dev Date/Publication: 2022-02-08 10:25:10 UTC RemoteUrl: https://github.com/annahutch/fcfdr RemoteRef: HEAD RemoteSha: c2e73698a179726dadf2b28b07b121a4cdc6aa40