Package: stepdownfdp
Title: A Step-Down Procedure to Control the False Discovery Proportion
Version: 1.0.0
Authors@R: c(
    person(
      "Arya", "Ebadi",
      email = "aeba3842@uni.sydney.edu.au", 
      role  = c("aut", "cre")
    ),
    person(
      "Dong", "Luo",
      email = "dluo7139@uni.sydney.edu.au",
      role  = "aut"
    ),
    person(
      "Kristen", "Emery",
      email = "keme6477@uni.sydney.edu.au",
      role  = "aut"
    ),
    person(
      "Yilun", "He",
      email = "yihe3842@uni.sydney.edu.au",
      role  = "aut"
    ),
    person(
      "William Stafford", "Noble",
      email = "william-noble@uw.edu",
      role  = "aut"
    ),
    person(
      "Uri", "Keich",
      email   = "uri.keich@sydney.edu.au",
      role    = "aut",
      comment = c(ORCID = "0000-0002-3209-5011")
    )
  )
Description: Provides a step-down procedure for controlling the False
  Discovery Proportion (FDP) in a competition-based setup, implementing 
  Dong et al. (2020) <arXiv:2011.11939>. Such setups include target-decoy 
  competition (TDC) in computational mass spectrometry and the knockoff 
  construction in linear regression.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.1.2
URL: https://github.com/uni-Arya/stepdownfdp
Imports: pracma, stats
NeedsCompilation: no
Packaged: 2022-03-15 08:43:53 UTC; arya
Author: Arya Ebadi [aut, cre],
  Dong Luo [aut],
  Kristen Emery [aut],
  Yilun He [aut],
  William Stafford Noble [aut],
  Uri Keich [aut] (<https://orcid.org/0000-0002-3209-5011>)
Maintainer: Arya Ebadi <aeba3842@uni.sydney.edu.au>
Repository: CRAN
Date/Publication: 2022-03-16 12:50:02 UTC
Built: R 4.6.0; ; 2026-04-25 22:36:20 UTC; unix
