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.

Version: 0.3.6
Depends: methods, stats
Imports: Rdsdp, Matrix, corpcor, glmnet, RSpectra, gtools, utils
Suggests: knitr, testthat, rmarkdown, lars, ranger, stabs, RPtests, doParallel, parallel
Published: 2022-08-15
DOI: 10.32614/CRAN.package.knockoff
Author: Rina Foygel Barber [ctb] (Development of the original Fixed-X Knockoffs), Emmanuel Candes [ctb] (Development of Model-X Knockoffs and original Fixed-X Knockoffs), Lucas Janson [ctb] (Development of Model-X Knockoffs), Evan Patterson [aut] (Earlier R package for the original Fixed-X Knockoffs), Matteo Sesia [aut, cre] (R package for Model-X Knockoffs)
Maintainer: Matteo Sesia <sesia at>
License: GPL-3
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
Controlled variable Selection with Model-X knockoffs


Package source: knockoff_0.3.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): knockoff_0.3.6.tgz, r-oldrel (arm64): knockoff_0.3.6.tgz, r-release (x86_64): knockoff_0.3.6.tgz, r-oldrel (x86_64): knockoff_0.3.6.tgz
Old sources: knockoff archive

Reverse dependencies:

Reverse imports: clusterMI, cpi, hdcuremodels, kko, VIMPS


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