getOutput_clustMDparallel

This function takes a <code>clustMDparallel</code> object, a number of clusters
and a covariance model as inputs. It then returns the output corresponding
to that model. If the particular model is not contained in the 
<code>clustMDparallel</code> object then the function returns an error.

Model-based clustering of mixed data (i.e. data which consist of
continuous, binary, ordinal or nominal variables) using a parsimonious
mixture of latent Gaussian variable models.

Damien McParland

clustMD

Model Based Clustering for Mixed Data

Isobel Claire Gormley

getOutput_clustMDparallel function

<dl><dt>resParallel</dt>
<dd>a <code>clustMDparallel</code> object.</dd>
<dt>nClus</dt>
<dd>the number of clusters in the desired output.</dd>
<dt>covModel</dt>
<dd>the covariance model of the desired output.</dd></dl>

Arguments

Extracts relevant output from clustMDparallel object — getOutput_clustMDparallel

<dl>

<dt>resParallel</dt>
<dd>a <code>clustMDparallel</code> object.</dd>


<dt>nClus</dt>
<dd>the number of clusters in the desired output.</dd>


<dt>covModel</dt>
<dd>the covariance model of the desired output.</dd>

</dl>

getOutput_clustMDparallel: Extracts relevant output from `clustMDparallel` object

Description

Usage

Value

Arguments