GRAB.SimubVec

Simulate random effect (i.e. bVec) based on family structure

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.

Woody Miao

GRAB

Genome-Wide Robust Analysis for Biobank Data (GRAB)

Wenjian Bi

Wei Zhou

Rounak Dey

Zhangchen Zhao

Seunggeun Lee

GRAB.SimubVec function

<dl><dt>nSub</dt>
<dd>the number of unrelated subjects in simulations, if <code>nSub = 0</code>, then all subjects are related to at least one of the others.</dd>
<dt>nFam</dt>
<dd>the number of families in simulation, if <code>nFam = 0</code>, then all subjects are unrelated to each other.</dd>
<dt>FamMode</dt>
<dd><code>"4-members"</code>, <code>"10-members"</code>, or <code>"20-members"</code>. Check <code>Details</code> section of function <code>help(GRAB.SimuGMat)</code> for more details.</dd>
<dt>tau</dt>
<dd>variance component</dd></dl>

Arguments

GRAB: simulate random effect (i.e. bVec) based on family structure — GRAB.SimubVec

<dl>

<dt>nSub</dt>
<dd>the number of unrelated subjects in simulations, if <code>nSub = 0</code>, then all subjects are related to at least one of the others.</dd>


<dt>nFam</dt>
<dd>the number of families in simulation, if <code>nFam = 0</code>, then all subjects are unrelated to each other.</dd>


<dt>FamMode</dt>
<dd><code>"4-members"</code>, <code>"10-members"</code>, or <code>"20-members"</code>. Check <code>Details</code> section of function <code>help(GRAB.SimuGMat)</code> for more details.</dd>


<dt>tau</dt>
<dd>variance component</dd>

</dl>

GRAB.SimubVec: GRAB: simulate random effect (i.e. bVec) based on family structure

Description

Usage

Value

Arguments

Examples