Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques.

MCMC Generalised Linear Mixed Models

package-ubuntu-20.04-r-4.0.5#cran#MCMCglmm-2.32

<p>Posterior distribution of eigenvalues</p>

<table summary="R argblock"><tr valign="top">
<td><code>x</code></td>
<td>
<p>mcmc object of (co)variances stacked column-wise</p>
</td>
</tr></table>

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

<p><code><a href="posterior.cor.html">posterior.cor</a></code>, <code><a href="posterior.inverse.html">posterior.inverse</a></code>, <code><a href="posterior.ante.html">posterior.ante</a></code></p>

v<-rIW(diag(2),3, n=1000)
hist(posterior.evals(mcmc(v))[,2])

package-ubuntu-20.04-r-4.0.5#cran#MCMCglmm-2.32#docs#posterior.evals

posterior.evals

Description

Usage

Arguments

Value

Author(s)

See Also

Examples

MCMCglmm

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