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GhostKnockoff  

The Knockoff Inference Using Summary Statistics
View on CRAN: Click here


Download and install GhostKnockoff package within the R console
Install from CRAN:
install.packages("GhostKnockoff")

Install from Github:
library("remotes")
install_github("cran/GhostKnockoff")

Install by package version:
library("remotes")
install_version("GhostKnockoff", "0.1.0")



Attach the package and use:
library("GhostKnockoff")
Maintained by
Zihuai He
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-23
Latest Update: 2021-11-23
Description:
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.
How to cite:
Zihuai He (2021). GhostKnockoff: The Knockoff Inference Using Summary Statistics. R package version 0.1.0, https://cran.r-project.org/web/packages/GhostKnockoff. Accessed 06 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited GhostKnockoff R package
View GhostKnockoff citation profile
Other R packages that GhostKnockoff depends, imports, suggests or enhances
Complete documentation for GhostKnockoff
Functions, R codes and Examples using the GhostKnockoff R package
Some associated functions: GhostKnockoff.GetCorStudy . GhostKnockoff.filter . GhostKnockoff.fit . GhostKnockoff.prelim.Meta . GhostKnockoff.prelim . 
Some associated R codes: GhostKnockoff.R .  Full GhostKnockoff package functions and examples
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