The <code>CCT</code> function takes in a numeric vector of p-values, a numeric
vector of non-negative weights, and return the aggregated p-value using Cauchy method.

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

CCT function

<dl><dt>pvals</dt>
<dd>a numeric vector of p-values, where each of the element is
between 0 to 1, to be combined. If a p-value equals to 1, we set it as 0.999. If a p-value equals to 0, an error action is executed.</dd>
<dt>weights</dt>
<dd>a numeric vector of non-negative weights. If <code>NULL</code>, the
equal weights are assumed.</dd></dl>

Arguments

An analytical p-value combination method using the Cauchy distribution — CCT

<dl>

<dt>pvals</dt>
<dd>a numeric vector of p-values, where each of the element is
between 0 to 1, to be combined. If a p-value equals to 1, we set it as 0.999. If a p-value equals to 0, an error action is executed.</dd>


<dt>weights</dt>
<dd>a numeric vector of non-negative weights. If <code>NULL</code>, the
equal weights are assumed.</dd>

</dl>

CCT: An analytical p-value combination method using the Cauchy distribution

Description

Usage

Value

Arguments

References

Examples