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-free Knockoffs for High-dimensional Controlled Variable Selection", 2016, <arXiv:1610.02351>.
Version: | 0.3.0 |
Depends: | methods, stats |
Imports: | Rdsdp, Matrix, corpcor, glmnet, RSpectra, gtools |
Suggests: | knitr, testthat, rmarkdown, lars, ranger, stabs, flare, doMC, parallel |
Published: | 2017-10-17 |
Author: | Rina Foygel Barber [ctb] (Development of the original fixed-design Knockoffs), Emmanuel Candes [ctb] (Development of Model-Free Knockoffs and original fixed-design Knockoffs), Lucas Janson [ctb] (Development of Model-Free Knockoffs), Evan Patterson [aut] (Original R package for the original fixed-design Knockoffs), Matteo Sesia [aut, cre] (R package for Model-Free Knockoffs) |
Maintainer: | Matteo Sesia <msesia at stanford.edu> |
License: | GPL-3 |
URL: | https://web.stanford.edu/group/candes/knockoffs/index.html |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | knockoff results |
Reference manual: | knockoff.pdf |
Vignettes: |
Advanced Usage of the Knockoff Filter for R Controlled variable Selection with Fixed-X Knockoffs Analysis of HIV Drug Resistance Data Controlled variable Selection with Model-X knockoffs |
Package source: | knockoff_0.3.0.tar.gz |
Windows binaries: | r-devel: knockoff_0.3.0.zip, r-release: knockoff_0.3.0.zip, r-oldrel: knockoff_0.3.0.zip |
OS X binaries: | r-release: knockoff_0.3.0.tgz, r-oldrel: knockoff_0.2.1.tgz |
Old sources: | knockoff archive |
Reverse suggests: | CBDA |
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