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-4.5)stepdownfdp_1.0.0.zip(r-4.4)stepdownfdp_1.0.0.zip(r-4.3)
stepdownfdp_1.0.0.tgz(r-4.4-any)stepdownfdp_1.0.0.tgz(r-4.3-any)
stepdownfdp_1.0.0.tar.gz(r-4.5-noble)stepdownfdp_1.0.0.tar.gz(r-4.4-noble)
stepdownfdp_1.0.0.tgz(r-4.4-emscripten)stepdownfdp_1.0.0.tgz(r-4.3-emscripten)
stepdownfdp.pdf |stepdownfdp.html
stepdownfdp/json (API)

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

Peer review:

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

On CRAN:

2 exports 0.63 score 1 dependencies 1 scripts 228 downloads

Last updated 3 years agofrom:0c5e7cd448. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-winOKAug 27 2024
R-4.5-linuxOKAug 27 2024
R-4.4-winOKAug 27 2024
R-4.4-macOKAug 27 2024
R-4.3-winOKAug 27 2024
R-4.3-macOKAug 27 2024

Exports:fdp_sdmirandom

Dependencies:pracma