CRAN/E | knockoff

knockoff

The Knockoff Filter for Controlled Variable Selection

Installation

About

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.

web.stanford.edu/group/candes/knockoffs/index.html

Key Metrics

Version 0.3.6
Published 2022-08-15 621 days ago
Needs compilation? no
License GPL-3
CRAN checks knockoff results

Downloads

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Maintainer

Maintainer

Matteo Sesia

sesia@marshall.usc.edu

Authors

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

(Earlier R package for the original Fixed-X Knockoffs)

Matteo Sesia

aut / cre

(R package for Model-X Knockoffs)

Material

NEWS
Reference manual
Package source

Vignettes

Advanced Usage of the Knockoff Filter for R
Controlled variable Selection with Fixed-X Knockoffs
Controlled variable Selection with Model-X knockoffs

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

knockoff archive

Depends

methods
stats

Imports

Rdsdp
Matrix
corpcor
glmnet
RSpectra
gtools
utils

Suggests

knitr
testthat
rmarkdown
lars
ranger
stabs
RPtests
doParallel
parallel

Reverse Imports

cpi
kko

Reverse Suggests

CBDA