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.
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curl https://depscope.dev/api/check/conda/r-knockoffFirst published · 2022-11-04 08:35:57.749000+00:00
Last updated · 2025-09-23 20:35:02.447000+00:00