Package: FDRestimation
Version: 1.0.1
Date: 2022-03-21
Title: Estimate, Plot, and Summarize False Discovery Rates
Authors@R: c(
    person("Megan", "Murray", email = "megan.c.hollister@vanderbilt.edu", role = c("aut", "cre")),
    person("Jeffrey", "Blume", email = "j.blume@vanderbilt.edu", role = c("aut"))
    )
Author: Megan Murray [aut, cre], Jeffrey Blume [aut]
Maintainer: Megan Murray <megan.c.hollister@vanderbilt.edu>
Depends: R (>= 3.4.0)
Imports: stats, utils, graphics, Rdpack
Description: The user can directly compute and display false discovery
        rates from inputted p-values or z-scores under a variety of
        assumptions. p.fdr() computes FDRs, adjusted p-values and
        decision reject vectors from inputted p-values or z-values.
        get.pi0() estimates the proportion of data that are truly null.
        plot.p.fdr() plots the FDRs, adjusted p-values, and the raw
        p-values points against their rejection threshold lines.
License: MIT + file LICENSE
URL: <doi:10.12688/f1000research.52999.2>
RoxygenNote: 7.1.2
Encoding: UTF-8
RdMacros: Rdpack
Repository: https://murraymegan.r-universe.dev
Date/Publication: 2022-04-01 16:10:54 UTC
RemoteUrl: https://github.com/murraymegan/fdrestimation
RemoteRef: HEAD
RemoteSha: 16fcf2b442f5fd4091e36242f537fbdebab55f4e
NeedsCompilation: no
Packaged: 2026-10-08 09:11:15 UTC; root