The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

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: 0.2.1
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: 2025-07-25
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 <miaolin at pku.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: GRAB results

Documentation:

Reference manual: GRAB.html , GRAB.pdf

Downloads:

Package source: GRAB_0.2.1.tar.gz
Windows binaries: r-devel: not available, r-release: GRAB_0.2.1.zip, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): GRAB_0.2.1.tgz, r-oldrel (x86_64): GRAB_0.2.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GRAB to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.