pairs.ContaminatedMixt

A matrix of scatterplots, for objects of class <code>ContaminatedMixt</code>, is produced.

Fits mixtures of multivariate contaminated normal distributions
(with eigen-decomposed scale matrices) via the expectation conditional-
maximization algorithm under a clustering or classification paradigm
Methods are described in Antonio Punzo, Angelo Mazza, and Paul D McNicholas (2018) <doi:10.18637/jss.v085.i10>.

Angelo Mazza

ContaminatedMixt

Clustering and Classification with the Contaminated Normal

pairs.ContaminatedMixt function

<dl> <dt>x</dt>
<dd>an object of class <code>ContaminatedMixt</code></dd> <dt>criterion</dt>
<dd>an optional character string with the information criterion to consider; supported values are: <code>"AIC"</code>, <code>"AICc"</code>, <code>"AICu"</code>, <code>"AIC3"</code>, <code>"AWE"</code>, <code>"BIC"</code>, <code>"CAIC"</code>, <code>"ICL"</code>. 
 Default value is <code>"BIC"</code>.</dd> <dt>...</dt>
<dd>Options to be passed to <code>pairs</code>.</dd></dl>

Arguments

Antonio Punzo, Angelo Mazza, Paul D. McNicholas

Author

Scatterplot Matrix for ContaminatedMixt Objects — pairs.ContaminatedMixt

<dl>

 <dt>x</dt>
<dd>an object of class <code>ContaminatedMixt</code></dd>

 <dt>criterion</dt>
<dd>an optional character string with the information criterion to consider; supported values are: <code>"AIC"</code>, <code>"AICc"</code>, <code>"AICu"</code>, <code>"AIC3"</code>, <code>"AWE"</code>, <code>"BIC"</code>, <code>"CAIC"</code>, <code>"ICL"</code>. 
 Default value is <code>"BIC"</code>.</dd>

 <dt>...</dt>
<dd>Options to be passed to <code>pairs</code>.</dd>

</dl>

pairs.ContaminatedMixt: Scatterplot Matrix for ContaminatedMixt Objects

Description

Usage

Arguments

Author

See Also