doi:10.1016/j.ajhg.2020.06.003>), ordinal categorical traits (e.g., Bi et al., 2021 <doi:10.1016/j.ajhg.2021.03.019>), and longitudinal traits (Xu et al., 2025 <doi:10.1038/s41467-025-56669-1>). Additionally, it includes functions for simulating genotype and phenotype data to support research and method development.">

GRAB: Genome-Wide Robust Analysis for Biobank Data (GRAB) (original) (raw)

Provides a comprehensive suite of genome-wide association study (GWAS) methods specifically designed for biobank-scale data. The package offers computationally efficient and robust association tests for time-to-event traits (e.g., Bi et al., 2020 <doi:10.1016/j.ajhg.2020.06.003>), ordinal categorical traits (e.g., Bi et al., 2021 <doi:10.1016/j.ajhg.2021.03.019>), and longitudinal traits (Xu et al., 2025 <doi:10.1038/s41467-025-56669-1>). Additionally, it includes functions for simulating genotype and phenotype data to support research and method development.

Version: 0.2.3
Depends: R (≥ 3.5.0)
Imports: dplyr, data.table, mvtnorm, Matrix, RSQLite, lme4, ordinal, survival, Rcpp, RcppParallel, igraph
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, BH
Suggests: dbplyr, optparse, tidyr, R.utils, SKAT
Published: 2025-08-20
DOI: 10.32614/CRAN.package.GRAB
Author: Wenjian Bi [aut], Wei Zhou [aut], Rounak Dey [aut], Zhangchen Zhao [aut], Seunggeun Lee [aut], Woody Miao [cre]
Maintainer: Woody Miao
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: GRAB results

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