GhostKnockoff: The Knockoff Inference Using Summary Statistics

Functions for multiple knockoff inference using summary statistics, e.g. Z-scores. The knockoff inference is a general procedure for controlling the false discovery rate (FDR) when performing variable selection. This package provides a procedure which performs knockoff inference without ever constructing individual knockoffs (GhostKnockoff). It additionally supports multiple knockoff inference for improved stability and reproducibility. Moreover, it supports meta-analysis of multiple overlapping studies.

Version:	0.1.0
Depends:	R (≥ 3.5.0), Matrix, CVXR, Rdsdp, gtools, seqminer
Imports:	RSpectra, corpcor
Published:	2021-11-23
Author:	Zihuai He
Maintainer:	Zihuai He <zihuai at stanford.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	GhostKnockoff results

Documentation:

Reference manual:

GhostKnockoff.pdf

Downloads:

Package source:	GhostKnockoff_0.1.0.tar.gz
Windows binaries:	r-devel: GhostKnockoff_0.1.0.zip, r-release: GhostKnockoff_0.1.0.zip, r-oldrel: GhostKnockoff_0.1.0.zip
macOS binaries:	r-release (arm64): GhostKnockoff_0.1.0.tgz, r-oldrel (arm64): GhostKnockoff_0.1.0.tgz, r-release (x86_64): GhostKnockoff_0.1.0.tgz, r-oldrel (x86_64): GhostKnockoff_0.1.0.tgz

Linking:

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