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.
- Version1.0.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release03/16/2022
Documentation
Team
Arya Ebadi
Uri Keich
Show author detailsRolesAuthorDong Luo
Show author detailsRolesAuthorWilliam Stafford Noble
Show author detailsRolesAuthorKristen Emery
Show author detailsRolesAuthorYilun He
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 194 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,129 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 25 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package