A Step-Down Procedure to Control the False Discovery Proportion R package stepdownfdp version 1.0.0 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. Software Imports: pracma, stats Arya Ebadi <aeba3842@uni.sydney.edu.au> Comprehensive R Archive Network (CRAN) Arya Ebadi [aut, cre], Dong Luo [aut], Kristen Emery [aut], Yilun He [aut], William Stafford Noble [aut], Uri Keich [aut] (ORCID: <https://orcid.org/0000-0002-3209-5011>) MIT + file LICENSE (https://CRAN.R-project.org/package=stepdownfdp/LICENSE) 2022-03-16 application/tgz https://CRAN.R-project.org/package=stepdownfdp doi:10.32614/CRAN.package.stepdownfdp