The Knockoff Filter for Controlled Variable Selection R package knockoff version 0.3.6 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. Software Depends: methods, stats Imports: Rdsdp, Matrix, corpcor, glmnet, RSpectra, gtools, utils Suggests: knitr, testthat, rmarkdown, lars, ranger, stabs, RPtests, doParallel, parallel Matteo Sesia <sesia@marshall.usc.edu> Comprehensive R Archive Network (CRAN) 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) GPL-3 2022-08-15 application/tgz https://CRAN.R-project.org/package=knockoff doi:10.32614/CRAN.package.knockoff