DIC_cmp

This function used an approach similar to the presented by Benson &amp; Friel (2021) to calculate the BIC. We select S a sample size of the posterior samples to speed up computation

Fits a Bayesian Regression Model for multivariate count data. This model assumes that the data is distributed according to the Conway-Maxwell-Poisson distribution, and for each response variable it is associate different covariates. This model allows to account for correlations between the counts by using latent effects based on the Chib and Winkelmann (2001) <http://www.jstor.org/stable/1392277> proposal.

Mauro Florez

MultRegCMP

Bayesian Multivariate Conway-Maxwell-Poisson Regression Model
for Correlated Count Data

DIC_cmp function

<dl><dt>fit</dt>
<dd>An object from the mcmc_cmp_mh</dd>
<dt>S</dt>
<dd>Number of iterations used to calculate the DIC</dd></dl>

Arguments

DIC of the regression model — DIC_cmp

<dl>

<dt>fit</dt>
<dd>An object from the mcmc_cmp_mh</dd>


<dt>S</dt>
<dd>Number of iterations used to calculate the DIC</dd>

</dl>

DIC_cmp: DIC of the regression model

Description

Usage

Value

Arguments