Package: knockoff
Type: Package
Title: The Knockoff Filter for Controlled Variable Selection
Version: 0.3.0
Date: 2017-10-16
Authors@R: c(person("Rina", "Foygel Barber", role = c("ctb"),
                     comment="Development of the original fixed-design Knockoffs"),
             person("Emmanuel", "Candes", role = c("ctb"),
                    comment="Development of Model-Free Knockoffs and original fixed-design Knockoffs"),
             person("Lucas", "Janson", role = c("ctb"),
                    comment="Development of Model-Free Knockoffs"),
             person("Evan", "Patterson", role = c("aut"),
                    comment="Original R package for the original fixed-design Knockoffs"),
             person("Matteo", "Sesia", role = c("aut","cre"),
                    comment="R package for Model-Free Knockoffs", email="msesia@stanford.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-free Knockoffs for High-dimensional Controlled Variable Selection", 
  2016, <arXiv:1610.02351>.
License: GPL-3
URL: https://web.stanford.edu/group/candes/knockoffs/index.html
Depends: methods, stats
Imports: Rdsdp, Matrix, corpcor, glmnet, RSpectra, gtools
Suggests: knitr, testthat, rmarkdown, lars, ranger, stabs, flare, doMC,
        parallel
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-10-17 01:21:04 UTC; msesia
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@stanford.edu>
Repository: CRAN
Date/Publication: 2017-10-17 22:49:35 UTC
Built: R 3.3.3; ; 2018-04-22 16:10:29 UTC; windows
