p_burden_single

Compute the p-value for the burden test
This function takes a vector of weights, a data frame of rare variants
and a matrix of Score statistics produced by <code>U_fi_lmd</code> for ZIP model
or <code>U_phi_mu4zinb</code> for ZINB model to compute the p-value for the burden test.

Gene‐based association tests to model count data with excessive zeros and rare variants using zero-inflated Poisson/zero-inflated negative Binomial regression framework. This method was originally described by Fan, Sun, and Li in Genetic Epidemiology 46(1):73-86 <doi:10.1002/gepi.22438>.

Xiaomin Liu

ZIM4rv

Gene‐based Association Tests of Zero‐inflated Count Phenotype
for Rare Variants

p_burden_single function

<dl><dt>wt</dt>
<dd>a numeric vector containing weights for all variants</dd>
<dt>G_rare</dt>
<dd>a data frame containing data of rare variants</dd>
<dt>s</dt>
<dd>a matrix of the score statistics for each variant from each subject</dd></dl>

Arguments

p_burden_single — p_burden_single

<dl>

<dt>wt</dt>
<dd>a numeric vector containing weights for all variants</dd>


<dt>G_rare</dt>
<dd>a data frame containing data of rare variants</dd>


<dt>s</dt>
<dd>a matrix of the score statistics for each variant from each subject</dd>

</dl>

p_burden_single: p_burden_single

Description

Usage

Value

Arguments