GBJ: Generalized Berk-Jones Test for Set-Based Inference in Genetic Association Studies
Version 0.5.0

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.

Package details

AuthorRyan Sun [aut, cre]
Date of publication2017-10-05 22:15:30 UTC
MaintainerRyan Sun <[email protected]>
LicenseGPL-3
Version0.5.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GBJ")

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GBJ documentation built on Oct. 6, 2017, 1:04 a.m.