stepdownfdp: A Step-Down Procedure to Control the False Discovery Proportion

Provides a step-down procedure for controlling the False Discovery Proportion (FDP) in a competition-based setup, implementing Dong et al. (2020) <doi:10.48550/arXiv.2011.11939>. Such setups include target-decoy competition (TDC) in computational mass spectrometry and the knockoff construction in linear regression.

Version:	1.0.0
Imports:	pracma, stats
Published:	2022-03-16
DOI:	10.32614/CRAN.package.stepdownfdp
Author:	Arya Ebadi [aut, cre], Dong Luo [aut], Kristen Emery [aut], Yilun He [aut], William Stafford Noble [aut], Uri Keich [aut]
Maintainer:	Arya Ebadi <aeba3842 at uni.sydney.edu.au>
License:	MIT + file LICENSE
URL:	https://github.com/uni-Arya/stepdownfdp
NeedsCompilation:	no
Materials:	README
CRAN checks:	stepdownfdp results

Documentation:

Reference manual:

stepdownfdp.html , stepdownfdp.pdf

Downloads:

Package source:	stepdownfdp_1.0.0.tar.gz
Windows binaries:	r-devel: stepdownfdp_1.0.0.zip, r-release: stepdownfdp_1.0.0.zip, r-oldrel: stepdownfdp_1.0.0.zip
macOS binaries:	r-release (arm64): stepdownfdp_1.0.0.tgz, r-oldrel (arm64): stepdownfdp_1.0.0.tgz, r-release (x86_64): stepdownfdp_1.0.0.tgz, r-oldrel (x86_64): stepdownfdp_1.0.0.tgz

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