cluster.cormat

<p>subject id. This is a vector of the same lenght of the number of observations. Please note that data must be
sorted in way that observations from the same cluster are contiguous.</p>

<p>a character string specifying the correlation structure. At the moment, the following are implemented:</p><table><tr><td>
<code>independence</code> </td>
<td> working independence. </td>
</tr><tr><td>
<code>ar1</code> </td>
<td> autoregressive of order 1. </td>
</tr><tr><td>
<code>ma1</code> </td>
<td> moving average of order 1. </td>
</tr><tr><td>
<code>exchangeable</code> </td>
<td> exchangeable. </td>
</tr></table>


type

<p>Sets longitudinal/clustered data correlation in Gaussian copula regression models.</p>

regression

nonlinear

Likelihood inference in Gaussian copula marginal
regression models.

cluster.cormat: Longitudinal/Clustered Data Correlation

Description

Usage

Arguments

Value

Details

References

See Also

`independence`	working independence.
`ar1`	autoregressive of order 1.
`ma1`	moving average of order 1.
`exchangeable`	exchangeable.