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
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 marshall.usc.edu>
License:	GPL-3
URL:	https://web.stanford.edu/group/candes/knockoffs/index.html
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	knockoff results

Documentation:

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

Downloads:

Package source:	knockoff_0.3.6.tar.gz
Windows binaries:	r-devel: knockoff_0.3.6.zip, r-release: knockoff_0.3.6.zip, r-oldrel: knockoff_0.3.6.zip
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, kko, VIMPS

Linking:

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