Package: sffdr
Type: Package
Title: Surrogate Functional False Discovery Rates for Genome-Wide
        Association Studies
Version: 1.1.2
Authors@R: c(person("Andrew", "Bass", email ="ab3105@cam.ac.uk", role = c("aut", "cre")),
             person("Chris", "Wallace", email ="chris.wallace@cam.ac.uk", role = c("aut")))
Maintainer: Andrew Bass <ab3105@cam.ac.uk>
Description: Pleiotropy-informed significance analysis of genome-wide
        association studies with surrogate functional false discovery
        rates (sfFDR). The sfFDR framework adapts the fFDR to leverage
        informative data from multiple sets of GWAS summary statistics
        to increase power in study while accommodating for linkage
        disequilibrium. sfFDR provides estimates of key FDR quantities
        in a significance analysis such as the functional local FDR and
        $q$-value, and uses these estimates to derive a functional
        $p$-value for type I error rate control and a functional local
        Bayes' factor for post-GWAS analyses (e.g., fine mapping and
        colocalization).
URL: https://github.com/ajbass/sffdr
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 4.1.0)
Imports: locfit, splines, ggplot2 (>= 3.5.1), patchwork (>= 1.3.0),
        qvalue, fastglm, withr, Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
RoxygenNote: 7.3.3
Config/pak/sysreqs: libicu-dev
Repository: https://ajbass.r-universe.dev
Date/Publication: 2026-04-01 14:57:52 UTC
RemoteUrl: https://github.com/ajbass/sffdr
RemoteRef: HEAD
RemoteSha: 10127bfa1b852b86aeb584df90a1766f8145aa2c
NeedsCompilation: yes
Packaged: 2026-07-04 23:38:56 UTC; root
Author: Andrew Bass [aut, cre],
  Chris Wallace [aut]