MFKnockoffs
0.9.1Model-Free Knockoff Filter for Controlled Variable Selection
Overview
Model-free knockoffs are 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-free Knockoffs for High-dimensional Controlled Variable Selection", 2016, arXiv:1610.02351.
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2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-05-31check problems were not corrected despite reminders
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.9.12017-09-29 · diff ↗
- 0.92017-07-08
- RR 3.4.0 released · 2017-04-21
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- 2
- License
- GPL-3 OSI
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