getAIC-methods

getAIC,bild-method

Methods for function <code>getAIC</code> extracting the Akaike information criterion 
for one fitted model object from class <code>bild</code>.

methods

Performs logistic regression for binary longitudinal
data, allowing for serial dependence among observations from a given
individual and a random intercept term. Estimation is via maximization
of the exact likelihood of a suitably defined model. Missing values and
unbalanced data are allowed, with some restrictions.
M. Helena Goncalves et al.(2007) <DOI: 10.18637/jss.v046.i09>.

M Helena Gonalves

bild

A Package for BInary Longitudinal Data

getAIC-methods function

<dl><dt>object</dt>
<dd>an object of class <code>bild</code>.</dd>
</dl>

Arguments

<dl>
 <dt>getAIC</dt>
<dd><code>signature(object="bild")</code>:Returns a numeric value corresponding to the AIC of the fitted model.</dd>
 </dl>

Methods

Extract the Akaike Information Criterion — getAIC-methods

<dl>

<dt>object</dt>
<dd>an object of class <code>bild</code>.</dd>
</dl>

<dl>
 <dt>getAIC</dt>
<dd><code>signature(object="bild")</code>:Returns a numeric value corresponding to the AIC of the fitted model.</dd>
 

</dl>

getAIC-methods: Extract the Akaike Information Criterion

Description

Usage

Value

Arguments

Methods