Package: GhostKnockoff 0.1.0

Zihuai He
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.
Authors:
GhostKnockoff_0.1.0.tar.gz
GhostKnockoff_0.1.0.tar.gz(r-4.5-noble)GhostKnockoff_0.1.0.tar.gz(r-4.4-noble)
GhostKnockoff_0.1.0.tgz(r-4.4-emscripten)GhostKnockoff_0.1.0.tgz(r-4.3-emscripten)
GhostKnockoff.pdf |GhostKnockoff.html✨
GhostKnockoff/json (API)
# Install 'GhostKnockoff' in R: |
install.packages('GhostKnockoff', repos = 'https://cloud.r-project.org') |
Conda:r-ghostknockoff-0.1.0(2025-03-25)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:dfb8f695a4. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 15 2025 |
R-4.5-linux | OK | Mar 15 2025 |
R-4.4-linux | OK | Mar 15 2025 |
Exports:GhostKnockoff.filterGhostKnockoff.fitGhostKnockoff.GetCorStudyGhostKnockoff.prelimGhostKnockoff.prelim.Meta
Dependencies:bitbit64clicorpcorCVXRECOSolveRgmpgtoolslatticeMatrixosqpR6RcppRcppEigenRdsdpRmpfrRSpectrascsseqminer
Citation
To cite package ‘GhostKnockoff’ in publications use:
He Z (2021). GhostKnockoff: The Knockoff Inference Using Summary Statistics. R package version 0.1.0, https://CRAN.R-project.org/package=GhostKnockoff.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {GhostKnockoff: The Knockoff Inference Using Summary Statistics}, author = {Zihuai He}, year = {2021}, note = {R package version 0.1.0}, url = {https://CRAN.R-project.org/package=GhostKnockoff}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
GhostKnockoff filter | GhostKnockoff.filter |
Feature importance score generator | GhostKnockoff.fit |
Calculate study correlation | GhostKnockoff.GetCorStudy |
Preliminary data management for GhostKnockoff | GhostKnockoff.prelim |
Additional preliminary data management for GhostKnockoff if multiple studies are involved | GhostKnockoff.prelim.Meta |