The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 ORCID iD [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.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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stepdownfdp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.