print.MFKnockoffs.result

<p>the output of a call to MFKnockoffs.filter</p>

<p>Prints the list of variables selected by the knockoff filter and the corresponding function call.</p>

Model-free knockoffs are 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>.

Matteo Sesia

MFKnockoffs

Model-Free Knockoff Filter for Controlled Variable Selection

print.MFKnockoffs.result: Print results for the knockoff filter

Description

Usage

Arguments