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GBJ
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]
[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. Accessed 10 May. 2025.
Previous versions and publish date:
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Other R packages that GBJ depends,
imports, suggests or enhances
Complete documentation for GBJ
Functions, R codes and Examples using
the GBJ R package
Some associated functions: BJ . FGFR2 . GBJ . GBJ_objective . GBJ_pvalue . GHC . GHC_objective . HC . OMNI_individual . OMNI_ss . calc_score_stats . calc_var_nonzero_mu . ebb_loglik . estimate_ss_cor . gbr_pcs . herm_poly_diff_t . minP . parse_input . qnorm_mu . score_stats_only . surv .
Some associated R codes: BJ.R . GBJ.R . GBJ_objective.R . GBJ_pvalue.R . GHC.R . GHC_objective.R . HC.R . RcppExports.R . calc_score_stats.R . calc_var_nonzero_mu.R . data.R . ebb_loglik.R . estimate_ss_cor.R . herm_poly_diff_t.R . minP.R . omni_individual.R . omni_ss.R . parse_input.R . qnorm_mu.R . score_stats_only.R . surv.R . Full GBJ package functions and examples
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