mmean

Count regression models for underdispersed small counts (lambda < 20) based on the three-parameter exponentially weighted Poisson distribution of Ridout & Besbeas (2004) <DOI:10.1191/1471082X04st064oa>.

Philipp H Boersch-Supan

An Empirical Model for Underdispersed Count Data

Philipp Boersch-Supan

James Clarke

mmean function

<dl><dt>object</dt>
<dd>ewp model object</dd>
<dt>cov</dt>
<dd>character, covariate to find marginal mean for</dd>
<dt>ci</dt>
<dd>logical, defaults to TRUE, whether or not to include confidence intervals</dd>
<dt>nsamples</dt>
<dd>numeric, defaults to 250, number of samples for use in obtaining the confidence intervals</dd>
<dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Estimate marginal means — mmean

<dl>

<dt>object</dt>
<dd>ewp model object</dd>


<dt>cov</dt>
<dd>character, covariate to find marginal mean for</dd>


<dt>ci</dt>
<dd>logical, defaults to TRUE, whether or not to include confidence intervals</dd>


<dt>nsamples</dt>
<dd>numeric, defaults to 250, number of samples for use in obtaining the confidence intervals</dd>


<dt>...</dt>
<dd>ignored</dd>

</dl>

mmean: Estimate marginal means

Description

Usage

Value

Arguments