df.residual,glimML-method

df.residual,glimQL-method

Computes the number of degrees of freedom of the residuals from fitted objects.

methods

df.residual-methods

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

df.residual-methods function

<dl>
 <dt>ANY</dt>
<dd>Generic function: see <code><a href="/link/df.residual?package=aod&version=1.3.3" data-mini-rdoc="aod::df.residual">df.residual</a></code>.</dd> <dt>glimML</dt>
<dd>Computes the df of residuals for models fitted by <code>betabin</code> or <code>negbin</code>.</dd> <dt>glimQL</dt>
<dd>Computes the df of residuals for models fitted by <code>quasibin</code> or <code>quasipois</code>.</dd> 
</dl>

Methods

Methods for Function "df.residual" in Package "aod" — df.residual-methods

<dl>
 <dt>ANY</dt>
<dd>Generic function: see <code><a href='https://rdrr.io/r/stats/df.residual.html'>df.residual</a></code>.</dd>

 <dt>glimML</dt>
<dd>Computes the df of residuals for models fitted by <code>betabin</code> or <code>negbin</code>.</dd>

 <dt>glimQL</dt>
<dd>Computes the df of residuals for models fitted by <code>quasibin</code> or <code>quasipois</code>.</dd>

 
</dl>

df.residual-methods: Methods for Function "df.residual" in Package "aod"

Description

Arguments

Methods