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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
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:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 15 2024 |
| R-4.5-linux | OK | Dec 15 2024 |
Exports:GhostKnockoff.filterGhostKnockoff.fitGhostKnockoff.GetCorStudyGhostKnockoff.prelimGhostKnockoff.prelim.Meta
Dependencies:bitbit64clicorpcorCVXRECOSolveRgmpgtoolslatticeMatrixosqpR6RcppRcppEigenRdsdpRmpfrRSpectrascsseqminer
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 |