fit_logistic_random_effect

A two-part zero-inflated Beta regression model with random
effects (ZIBR) for testing the association between microbial abundance
and clinical covariates for longitudinal microbiome data. Eric Z. Chen
and Hongzhe Li (2016) <doi:10.1093/bioinformatics/btw308>.

Charlie Bushman

ZIBR

A Zero-Inflated Beta Random Effect Model

Eric Zhang Chen

fit_logistic_random_effect function

<dl><dt>X</dt>
<dd>FILL</dd>
<dt>Y</dt>
<dd>FILL</dd>
<dt>subject.ind</dt>
<dd>the subject index</dd>
<dt>time.ind</dt>
<dd>the time index</dd>
<dt>quad.n</dt>
<dd>number of points in gaussian quadrature</dd>
<dt>verbose</dt>
<dd>a boolean to enable more output</dd></dl>

Arguments

Fit logisitic random effect — fit_logistic_random_effect

<dl>

<dt>X</dt>
<dd>FILL</dd>


<dt>Y</dt>
<dd>FILL</dd>


<dt>subject.ind</dt>
<dd>the subject index</dd>


<dt>time.ind</dt>
<dd>the time index</dd>


<dt>quad.n</dt>
<dd>number of points in gaussian quadrature</dd>


<dt>verbose</dt>
<dd>a boolean to enable more output</dd>

</dl>

fit_logistic_random_effect: Fit logisitic random effect

Description

Usage

Value

Arguments