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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 |
| DOI: | 10.32614/CRAN.package.GhostKnockoff |
| Author: | Zihuai He |
| Maintainer: | Zihuai He <zihuai at stanford.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | GhostKnockoff results |
| Reference manual: | GhostKnockoff.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
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