knockoff
The Knockoff Filter for Controlled Variable Selection
The knockoff filter is a general procedure for controlling the false discovery rate (FDR) when performing variable selection. For more information, see the website below and the accompanying paper: Candes et al., "Panning for gold: model-X knockoffs for high-dimensional controlled variable selection", J. R. Statist. Soc. B (2018) 80, 3, pp. 551-577.
- Version0.3.6
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release08/15/2022
Documentation
Team
Matteo Sesia
Lucas Janson
Show author detailsRolesContributorRina Foygel Barber
Show author detailsRolesContributorEmmanuel Candes
Show author detailsRolesContributorEvan Patterson
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 559 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 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 5,638 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Dec 17, 2024 with 81 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.
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Dependencies
- Imports6 packages
- Suggests8 packages
- Reverse Imports4 packages