residuals.MCMCglmm

<code>residuals</code> method for class <code>"MCMCglmm"</code>.

models

Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques (Hadfield 2010 J. Stat. Soft.).

Jarrod Hadfield

MCMCglmm

MCMC Generalised Linear Mixed Models

residuals.MCMCglmm function

<dl> <dt>object</dt>
<dd>an object of class <code>"MCMCglmm"</code></dd> <dt>type</dt>
<dd>the type of residuals which should be returned. The alternatives are: <code>"deviance"</code> (default), <code>"pearson"</code>,<code>"working"</code>, <code>"response"</code>, and <code>"partial"</code>.</dd> <dt>...</dt>
<dd>Further arguments to be passed</dd></dl>

Arguments

Jarrod Hadfield <a href="/link/j.hadfield%40ed.ac.uk?package=MCMCglmm&version=2.35" data-mini-rdoc="MCMCglmm::j.hadfield@ed.ac.uk">j.hadfield@ed.ac.uk</a>

Author

Residuals form a GLMM fitted with MCMCglmm — residuals.MCMCglmm

<dl>

 <dt>object</dt>
<dd>an object of class <code>"MCMCglmm"</code></dd>

 <dt>type</dt>
<dd>the type of residuals which should be returned. The alternatives are: <code>"deviance"</code> (default), <code>"pearson"</code>,<code>"working"</code>, <code>"response"</code>, and <code>"partial"</code>.</dd>

 <dt>...</dt>
<dd>Further arguments to be passed</dd>

</dl>

Jarrod Hadfield <a href='mailto:j.hadfield@ed.ac.uk'>j.hadfield@ed.ac.uk</a>

residuals.MCMCglmm: Residuals form a GLMM fitted with MCMCglmm

Description

Usage

Value

Arguments

Author

See Also