print.clustMDparallel

Prints basic details of <code>clustMDparallel</code> object. Outputs the different
numbers of clusters and the different covariance structures fitted to the
data. It also states which model was optimal according to the estimated BIC
criterion.

print

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

print.clustMDparallel function

<dl><dt>x</dt>
<dd>a <code>clustMDparallel</code> object.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Print basic details of clustMDparallel object — print.clustMDparallel

<dl>

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


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

print.clustMDparallel: Print basic details of `clustMDparallel` object

Description

Usage

Value

Arguments

See Also