Package: GRAB
Type: Package
Title: Genome-Wide Robust Analysis for Biobank Data (GRAB)
Version: 0.2.5
Date: 2026-07-03
Authors@R: c(person(given = "Wenjian",
                    family = "Bi",
                    role = "aut"),
             person(given = "Wei",
                    family = "Zhou",
                    role = "aut"),
             person(given = "Rounak",
                    family = "Dey",
                    role = "aut"),
             person(given = "Zhangchen",
                    family = "Zhao",
                    role = "aut"),
             person(given = "Seunggeun",
                    family = "Lee",
                    role = "aut"),
             person(given = "Woody",
                    family = "Miao",
                    role = "cre",
                    email = "miaolin@pku.edu.cn"))
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: dplyr, data.table, mvtnorm, Matrix, RSQLite, lme4, ordinal,
        survival, Rcpp, RcppParallel, igraph, rlang
Suggests: SKAT, dbplyr, tidyr, R.utils
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, BH
RoxygenNote: 8.0.0
NeedsCompilation: yes
Author: Wenjian Bi [aut], Wei Zhou [aut], Rounak Dey [aut], Zhangchen
        Zhao [aut], Seunggeun Lee [aut], Woody Miao [cre]
Maintainer: Woody Miao <miaolin@pku.edu.cn>
Packaged: 2026-10-14 08:54:10 UTC; root
Config/pak/sysreqs: cmake libglpk-dev make libxml2-dev
Repository: https://woodymiao.r-universe.dev
Date/Publication: 2026-07-03 08:30:39 UTC
RemoteUrl: https://github.com/cran/GRAB
RemoteRef: HEAD
RemoteSha: 537b5e0ab534bb3effc8f9a7d9355bd6dca2ca18