Package: stepdownfdp 1.0.0

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) <arxiv:2011.11939>. Such setups include target-decoy competition (TDC) in computational mass spectrometry and the knockoff construction in linear regression.

Authors:Arya Ebadi [aut, cre], Dong Luo [aut], Kristen Emery [aut], Yilun He [aut], William Stafford Noble [aut], Uri Keich [aut]

stepdownfdp_1.0.0.tar.gz
stepdownfdp_1.0.0.zip(r-4.7)stepdownfdp_1.0.0.zip(r-4.6)stepdownfdp_1.0.0.zip(r-4.5)
stepdownfdp_1.0.0.tgz(r-4.6-any)stepdownfdp_1.0.0.tgz(r-4.5-any)
stepdownfdp_1.0.0.tar.gz(r-4.7-any)stepdownfdp_1.0.0.tar.gz(r-4.6-any)
stepdownfdp_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
stepdownfdp/json (API)

# Install 'stepdownfdp' in R:

install.packages('stepdownfdp', repos = c('https://uni-arya.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/uni-arya/stepdownfdp/issues

On CRAN:

2.70 score 6 scripts 187 downloads 2 exports 1 dependencies

Last updated from:0c5e7cd448. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	96
source / vignettes	OK	146
linux-release-x86_64	OK	95
macos-release-arm64	OK	116
macos-oldrel-arm64	OK	144
windows-devel	OK	70
windows-release	OK	60
windows-oldrel	OK	61
wasm-release	OK	86