Package: bandsfdp
Title: Compute Upper Prediction Bounds on the FDP in Competition-Based
        Setups
Version: 1.1.0
Authors@R: c(
    person("Arya", "Ebadi", , "aeba3842@uni.sydney.edu.au", role = c("aut", "cre")),
    person("Dong", "Luo", , "dluo7139@uni.sydney.edu.au", role = "aut"),
    person("Jack", "Freestone", , "jfre0619@uni.sydney.edu.au", role = "aut"),
    person("William Stafford", "Noble", , "william-noble@uw.edu", role = "aut"),
    person("Uri", "Keich", , "uri.keich@sydney.edu.au", role = "aut",
           comment = c(ORCID = "0000-0002-3209-5011"))
  )
Suggests: fdpbandsdata
Description: Implements functions that calculate upper prediction
        bounds on the false discovery proportion (FDP) in the list of
        discoveries returned by competition-based setups, implementing
        Ebadi et al. (2022) <arXiv:2302.11837>. Such setups include
        target-decoy competition (TDC) in computational mass
        spectrometry and the knockoff construction in linear regression
        (note this package typically uses the terminology of TDC).
        Included is the standardized (TDC-SB) and uniform (TDC-UB)
        bound on TDC's FDP, and the simultaneous standardized and
        uniform bands. Requires pre-computed Monte Carlo statistics
        available at <https://github.com/uni-Arya/fdpbandsdata>. This
        data can be downloaded by running the command
        'devtools::install_github("uni-Arya/fdpbandsdata")' in R and
        restarting R after installation. The size of this data is
        roughly 81Mb.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
URL: https://github.com/uni-Arya/bandsfdp
BugReports: https://github.com/uni-Arya/bandsfdp/issues
Repository: https://uni-arya.r-universe.dev
Date/Publication: 2023-05-12 05:45:43 UTC
RemoteUrl: https://github.com/uni-arya/bandsfdp
RemoteRef: HEAD
RemoteSha: b4921eda567fcfabd4cc7e2727c2bf2718dd3056
NeedsCompilation: no
Packaged: 2026-10-13 12:17:19 UTC; root
Author: Arya Ebadi [aut, cre],
  Dong Luo [aut],
  Jack Freestone [aut],
  William Stafford Noble [aut],
  Uri Keich [aut] (ORCID: <https://orcid.org/0000-0002-3209-5011>)
Maintainer: Arya Ebadi <aeba3842@uni.sydney.edu.au>