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.
https://anaconda.org/dnachun/r-knockoff/badges/version.svg
https://anaconda.org/dnachun/r-knockoff/badges/latest_release_date.svg
https://anaconda.org/dnachun/r-knockoff/badges/latest_release_relative_date.svg
https://anaconda.org/dnachun/r-knockoff/badges/platforms.svg
https://anaconda.org/dnachun/r-knockoff/badges/license.svg
https://anaconda.org/dnachun/r-knockoff/badges/downloads.svg