DESCRIPTION

Package: fFDR
Type: Package
Title: Functional FDR for multiple hypothesis testing
Version: 0.1
Date: 2013-04-08
Authors@R: c(
    person("David", "Robinson", email = "dgrtwo@princeton.edu", role = c("cre", "aut")),
    person("Sean", "Hackett", email = "sean@calicolabs.com", role = "ctb"))
Maintainer: David Robinson <dgrtwo@princeton.edu>
Description: The functional FDR (fFDR) methodology utilizes an informative variable
    as well as p-value for multiple hypothesis testing. It models the likelihood of
    a true null hypothesis as a function of the informative variable (referred to as
    the "functional proportion""), and models the power of a statistical test also as a
    function of the informative variable. When neither the functional proportion nor
    the statistical test depends on the informtaive variable, the fFDR methodology
    reduces to the traditional q-value based FDR methodology.
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: 
    broom,
    dplyr,
    formatR,
    gam,
    ggplot2,
    qvalue,
    gridExtra,
    locfit,
    Rcpp (>= 0.11.0),
    reshape2,
    scales,
    tibble,
    tidyr
Suggests: testthat,
    knitr
URL: http://github.com/dgrtwo/fFDR
License: MIT + file LICENSE
LinkingTo: Rcpp
RoxygenNote: 7.1.0