Ex1_phenodata

Small, artificially generated toy data set that
provides artificial information of count phenotypes and covariates for 200 individuals
to illustrate the analysis with the use of the package.

datasets

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

Ex1_phenodata function

An object of class <code>"data.frame"</code><dl>
 <dt>FID</dt>
<dd>Family IDs</dd> <dt>IID</dt>
<dd>Individual IDs</dd> <dt>count</dt>
<dd>Zero-inflated count phenotypes</dd> <dt>educ</dt>
<dd>Covariate education years</dd> <dt>sex</dt>
<dd>Covariate sex</dd> <dt>PC1</dt>
<dd>The first principal component</dd> <dt>PC2</dt>
<dd>The second principal component</dd> <dt>PC3</dt>
<dd>The third principal component</dd>
</dl>

Format

An example dataset of phenodata — Ex1_phenodata

An object of class <code>"data.frame"</code><dl>
 <dt>FID</dt>
<dd>Family IDs</dd>

 <dt>IID</dt>
<dd>Individual IDs</dd>

 <dt>count</dt>
<dd>Zero-inflated count phenotypes</dd>

 <dt>educ</dt>
<dd>Covariate education years</dd>

 <dt>sex</dt>
<dd>Covariate sex</dd>

 <dt>PC1</dt>
<dd>The first principal component</dd>

 <dt>PC2</dt>
<dd>The second principal component</dd>

 <dt>PC3</dt>
<dd>The third principal component</dd>


</dl>

Ex1_phenodata: An example dataset of phenodata

Description

Usage

Arguments

Format

References

Examples