perc.cutoffs

Calculates the threshold parameters for ordinal variables.

internal

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

perc.cutoffs function

<dl><dt>CnsIndx</dt>
<dd>the number of continuous variables.</dd>
<dt>OrdIndx</dt>
<dd>the sum of the number of continuous and ordinal (including
binary) variables.</dd>
<dt>Y</dt>
<dd>an <code>N x J</code> data matrix.</dd>
<dt>N</dt>
<dd>number of observations.</dd></dl>

Arguments

Calculates the threshold parameters for ordinal variables. — perc.cutoffs

<dl>

<dt>CnsIndx</dt>
<dd>the number of continuous variables.</dd>


<dt>OrdIndx</dt>
<dd>the sum of the number of continuous and ordinal (including
binary) variables.</dd>


<dt>Y</dt>
<dd>an <code>N x J</code> data matrix.</dd>


<dt>N</dt>
<dd>number of observations.</dd>

</dl>

perc.cutoffs: Calculates the threshold parameters for ordinal variables.

Description

Usage

Value

Arguments

See Also