Zp-methods

Zp,RCLRMIX-method

Zp,RCLRMVNORM-method

a desired number of clusters for which the predictive cluster membership is calculated. The default value is <code>expression(c)</code>.

Returns the factor of predictive cluster membership at <code>s</code>.

clustering

R functions for random univariate and multivariate finite mixture model generation, estimation, clustering and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson, Dirac or circular von Mises parametric families.

Marko Nagode

rebmix

Finite Mixture Modeling, Clustering & Classification

Zp-methods function

<dl class="dl-horizontal">
<dt><code>signature(x = "RCLRMIX")</code></dt><dd>an object of class <code>RCLRMIX</code>.</dd>
<dt><code>signature(x = "RCLRMVNORM")</code></dt><dd>an object of class <code>RCLRMVNORM</code>.</dd>
</dl>

Methods

Predictive Cluster Membership — Zp-methods

<dl class='dl-horizontal'>
<dt><code>signature(x = "RCLRMIX")</code></dt><dd>an object of class <code>RCLRMIX</code>.</dd>
<dt><code>signature(x = "RCLRMVNORM")</code></dt><dd>an object of class <code>RCLRMVNORM</code>.</dd>
</dl>

Zp-methods: Predictive Cluster Membership

Description

Usage

Arguments

Methods