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>Forms a tensor of sample (mixed) central moments</p>

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>matrix; traits in columns samples in rows</p>
</td>
</tr>
<tr valign="top">
<td><code>k</code></td>
<td>
<p>kth central moment</p>
</td>
</tr>
</table>

<table summary="R valueblock"><tr valign="top">
<td><code></code></td>
<td>
<p>tensor</p>
</td>
</tr></table>

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

n<-1000
y<-matrix(rnorm(n), n/2, 2)
Ptensor(y,2)
cov(y)*((n-1)/n)

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

Ptensor

Description

Usage

Arguments

Value

Author(s)

Examples

MCMCglmm

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`x`	matrix; traits in columns samples in rows
`k`	kth central moment