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",
|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] (Original R package for the original Fixed-X Knockoffs), Matteo Sesia [aut, cre] (R package for Model-X Knockoffs)|
|Date of publication||2018-09-16 16:30:08 UTC|
|Maintainer||Matteo Sesia <[email protected]>|
|Package repository||View on CRAN|
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