Genome-Wide Robust Analysis for Biobank Data (GRAB) R package GRAB version 0.2.4 Provides a comprehensive suite of genome-wide association study (GWAS) methods specifically designed for biobank-scale data, including but not limited to, robust approaches for time-to-event traits (Li et al., 2025 <doi:10.1038/s43588-025-00864-z>) and ordinal categorical traits (Bi et al., 2021 <doi:10.1016/j.ajhg.2021.03.019>). The package also offers general frameworks for GWAS of any trait type (Bi et al., 2020 <doi:10.1016/j.ajhg.2020.06.003>), while accounting for sample relatedness (Xu et al., 2025 <doi:10.1038/s41467-025-56669-1>) or population structure (Ma et al., 2025 <doi:10.1186/s13059-025-03827-9>). By accurately approximating score statistic distributions using saddlepoint approximation (SPA), these methods can effectively control type I error rates for rare variants and in the presence of unbalanced phenotype distributions. Additionally, the package includes functions for simulating genotype and phenotype data to support research and method development. Software Depends: R (>= 3.5.0) Imports: dplyr, data.table, mvtnorm, Matrix, RSQLite, lme4, ordinal, survival, Rcpp, RcppParallel, igraph LinkingTo: Rcpp, RcppArmadillo, RcppParallel, BH Suggests: SKAT, dbplyr, tidyr, R.utils Woody Miao <miaolin@pku.edu.cn> Comprehensive R Archive Network (CRAN) Wenjian Bi [aut], Wei Zhou [aut], Rounak Dey [aut], Zhangchen Zhao [aut], Seunggeun Lee [aut], Woody Miao [cre] GPL (>= 2) 2025-12-05 application/tgz https://CRAN.R-project.org/package=GRAB doi:10.32614/CRAN.package.GRAB