llk_cmp

This function calculates the log likelihood of the distribution as described by Benson and Friel (2021)

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

llk_cmp function

<dl><dt>y</dt>
<dd>Count value</dd>
<dt>mu</dt>
<dd>Location parameter</dd>
<dt>nu</dt>
<dd>Shape parameter</dd>
<dt>r</dt>
<dd>Number of acceptances</dd></dl>

Arguments

Log likelihood of the Conway-Maxwell-Poisson Distribution — llk_cmp

<dl>

<dt>y</dt>
<dd>Count value</dd>


<dt>mu</dt>
<dd>Location parameter</dd>


<dt>nu</dt>
<dd>Shape parameter</dd>


<dt>r</dt>
<dd>Number of acceptances</dd>

</dl>

llk_cmp: Log likelihood of the Conway-Maxwell-Poisson Distribution

Description

Usage

Value

Arguments

Examples