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GBJ  

Generalized Berk-Jones Test for Set-Based Inference in Genetic Association Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GBJ", "0.5.4")



Attach the package and use:
library("GBJ")
Maintained by
Ryan Sun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-30
Latest Update: 2024-01-31
Description:
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.
How to cite:
Ryan Sun (2017). GBJ: Generalized Berk-Jones Test for Set-Based Inference in Genetic Association Studies. R package version 0.5.4, https://cran.r-project.org/web/packages/GBJ
Previous versions and publish date:
0.4.0 (2017-08-30 20:37), 0.5.0 (2017-10-06 00:15), 0.5.2 (2018-06-27 23:16), 0.5.3 (2020-01-13 10:40)
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