Computes the ICL (Integrated Complete-data Likelihood) for criterion for a Gaussian Mixture Model fitted by <code>Mclust</code>.

cluster

Gaussian finite mixture models fitted via EM algorithm for
model-based clustering, classification, and density estimation,
including Bayesian regularization, dimension reduction for
visualisation, and resampling-based inference.

Luca Scrucca

mclust

Gaussian Mixture Modelling for Model-Based Clustering,
Classification, and Density Estimation

Chris Fraley

Adrian E. Raftery

Thomas Brendan Murphy

Michael Fop

icl function

<dl> <dt>object</dt>
<dd>An object of class <code>'Mclust'</code> resulting from a call to <code>Mclust</code>.</dd> <dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

ICL for an estimated Gaussian Mixture Model — icl

<dl>

 <dt>object</dt>
<dd>An object of class <code>'Mclust'</code> resulting from a call to <code>Mclust</code>.</dd>

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

</dl>

icl: ICL for an estimated Gaussian Mixture Model

Description

Usage

Value

Arguments

References

See Also

Examples