ZIPG_summary

We provide a flexible Zero-inflated Poisson-Gamma Model (ZIPG) by connecting both the mean abundance and the variability to different covariates, and build valid statistical inference procedures for both parameter estimation and hypothesis testing. These functions can be used to analyze microbiome count data with zero-inflation and overdispersion. The model is discussed in Jiang et al (2023) <doi:10.1080/01621459.2022.2151447>.

Roulan Jiang

ZIPG

Zero-Inflated Poisson-Gamma Regression

Tianying Wang

ZIPG_summary function

<dl><dt>ZIPG_res</dt>
<dd>Result from ZIPG_main()</dd>
<dt>type</dt>
<dd>Type of hypothesis testing method, 'Wald','bWald' or 'pbWald'.</dd></dl>

Arguments

Summary for ZIPG_main() result. — ZIPG_summary

<dl>

<dt>ZIPG_res</dt>
<dd>Result from ZIPG_main()</dd>


<dt>type</dt>
<dd>Type of hypothesis testing method, 'Wald','bWald' or 'pbWald'.</dd>

</dl>

ZIPG_summary: Summary for ZIPG_main() result.

Description

Usage

Value

Arguments

Examples