bandsfdp: Compute Upper Prediction Bounds on the FDP in Competition-Based Setups

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.

Version: 1.1.0
Suggests: fdpbandsdata
Published: 2023-05-12
Author: Arya Ebadi [aut, cre], Dong Luo [aut], Jack Freestone [aut], William Stafford Noble [aut], Uri Keich ORCID iD [aut]
Maintainer: Arya Ebadi <aeba3842 at uni.sydney.edu.au>
BugReports: https://github.com/uni-Arya/bandsfdp/issues
License: MIT + file LICENSE
URL: https://github.com/uni-Arya/bandsfdp
NeedsCompilation: no
Materials: README NEWS
CRAN checks: bandsfdp results

Documentation:

Reference manual: bandsfdp.pdf

Downloads:

Package source: bandsfdp_1.1.0.tar.gz
Windows binaries: r-devel: bandsfdp_1.1.0.zip, r-release: bandsfdp_1.1.0.zip, r-oldrel: bandsfdp_1.1.0.zip
macOS binaries: r-release (arm64): bandsfdp_1.1.0.tgz, r-oldrel (arm64): bandsfdp_1.1.0.tgz, r-release (x86_64): bandsfdp_1.1.0.tgz
Old sources: bandsfdp archive

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