glimQL-class

show,glimQL-method

Representation of models of formal class "glimQL" fitted by quasi-likelihood method.

classes

Provides a set of functions to analyse
overdispersed counts or proportions. Most of the methods are
already available elsewhere but are scattered in different
packages. The proposed functions should be considered as
complements to more sophisticated methods such as generalized
estimating equations (GEE) or generalized linear mixed effect
models (GLMM).

Renaud Lancelot

Analysis of Overdispersed Data

glimQL-class function

Objects can be created by calls of the form <code>new("glimQL", ...)</code> or, 
 more commonly, via the <code>quasibin</code> or <code>quasipois</code> functions.

Objects from the Class

<dl>
 <dt><code>CALL</code></dt>
<dd>The call of the function.</dd> <dt><code>fm</code></dt>
<dd>A fitted model of class &#8220;glm&#8221;.</dd> <dt><code>phi</code></dt>
<dd>The overdispersion parameter.</dd> 
</dl>

Slots

<dl>
 <dt>show</dt>
<dd><code>signature(object = "glimQL")</code>: Main results of &#8220;glimQL&#8221; models.</dd> 
</dl>

Methods

Representation of Models of Formal Class "glimQL" — glimQL-class

<dl>
 <dt><code>CALL</code></dt>
<dd>The call of the function.</dd>

 <dt><code>fm</code></dt>
<dd>A fitted model of class &#8220;glm&#8221;.</dd>

 <dt><code>phi</code></dt>
<dd>The overdispersion parameter.</dd>

 
</dl>

<dl>
 <dt>show</dt>
<dd><code>signature(object = "glimQL")</code>: Main results of &#8220;glimQL&#8221; models.</dd>

 
</dl>

glimQL-class: Representation of Models of Formal Class "glimQL"

Description

Arguments

Objects from the Class

Slots

Methods