Package: knockoff Type: Package Title: The Knockoff Filter for Controlled Variable Selection Version: 0.3.6 Date: 2022-08-12 Authors@R: c(person("Rina", "Foygel Barber", role = c("ctb"), comment="Development of the original Fixed-X Knockoffs"), person("Emmanuel", "Candes", role = c("ctb"), comment="Development of Model-X Knockoffs and original Fixed-X Knockoffs"), person("Lucas", "Janson", role = c("ctb"), comment="Development of Model-X Knockoffs"), person("Evan", "Patterson", role = c("aut"), comment="Earlier R package for the original Fixed-X Knockoffs"), person("Matteo", "Sesia", role = c("aut","cre"), comment="R package for Model-X Knockoffs", email="sesia@marshall.usc.edu")) Description: 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. License: GPL-3 URL: https://web.stanford.edu/group/candes/knockoffs/index.html Depends: methods, stats Imports: Rdsdp, Matrix, corpcor, glmnet, RSpectra, gtools, utils Suggests: knitr, testthat, rmarkdown, lars, ranger, stabs, RPtests, doParallel, parallel RoxygenNote: 7.1.2 VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-10-19 11:00:00 UTC; root 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 Repository: https://msesia.r-universe.dev Date/Publication: 2022-08-15 06:30:08 UTC RemoteUrl: https://github.com/cran/knockoff RemoteRef: HEAD RemoteSha: 14490c6500bbf8fc5d417c65489f1d97e543f681