CRAN/E | GBJ

GBJ

Generalized Berk-Jones Test for Set-Based Inference in Genetic Association Studies

Installation

About

Offers the Generalized Berk-Jones (GBJ) test for set-based inference in genetic association studies. The GBJ is designed as an alternative to tests such as Berk-Jones (BJ), Higher Criticism (HC), Generalized Higher Criticism (GHC), Minimum p-value (minP), and Sequence Kernel Association Test (SKAT). All of these other methods (except for SKAT) are also implemented in this package, and we additionally provide an omnibus test (OMNI) which integrates information from each of the tests. The GBJ has been shown to outperform other tests in genetic association studies when signals are correlated and moderately sparse. Please see the vignette for a quickstart guide or Sun and Lin (2017) for more details.

Key Metrics

Version 0.5.4
R ≥ 2.10
Published 2024-01-31 90 days ago
Needs compilation? yes
License GPL-3
CRAN checks GBJ results

Downloads

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Maintainer

Maintainer

Ryan Sun

ryansun.work@gmail.com

Authors

Ryan Sun

aut / cre

Material

README
Reference manual
Package source

Vignettes

Generalized Berk-Jones (GBJ) Tutorial

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GBJ archive

Depends

R ≥ 2.10

Imports

Rcpp ≥ 0.12.7
mvtnorm
SKAT
stats
BH

Suggests

knitr
rmarkdown
bindata
rje
testthat

LinkingTo

Rcpp
BH

Reverse Imports

DBpower
sGBJ
sumFREGAT