BMMposteriori

Given a <code>JAGSrun</code> object with model of class <code>BMMmodel</code> the
 aposteriori probabilities are determined. If <code>plot=TRUE</code>, the
 resulting object of class <code>BMMposteriori</code> is plotted.

hplot

Fits finite mixture models of univariate Gaussian distributions using JAGS within a Bayesian framework.

Bettina Gruen

bayesmix

Bayesian Mixture Models with JAGS

Martyn Plummer

BMMposteriori function

<dl> <dt>object</dt>
<dd>a <code>JAGSrun</code> object with model of class <code>BMMmodel</code>.</dd> <dt>class</dt>
<dd>a vector of integers indicating for which classes the
 posterior probabilities shall be plotted. The default is all.</dd> <dt>caption</dt>
<dd>captions to appear above the plots.</dd> <dt>plot</dt>
<dd>logical indicating if a plot shall be made.</dd> <dt>auto.layout</dt>
<dd>logical: if <code>TRUE</code> puts all classes in the
 posterior probabilities plot on the same figure.</dd> <dt>...</dt>
<dd>further graphical parameters may also be supplied as
 arguments.</dd>
 
</dl>

Arguments

Author

Plot aposteriori probabilities of data points — BMMposteriori

<dl>

 <dt>object</dt>
<dd>a <code>JAGSrun</code> object with model of class <code>BMMmodel</code>.</dd>

 <dt>class</dt>
<dd>a vector of integers indicating for which classes the
 posterior probabilities shall be plotted. The default is all.</dd>

 <dt>caption</dt>
<dd>captions to appear above the plots.</dd>

 <dt>plot</dt>
<dd>logical indicating if a plot shall be made.</dd>

 <dt>auto.layout</dt>
<dd>logical: if <code>TRUE</code> puts all classes in the
 posterior probabilities plot on the same figure.</dd>

 <dt>...</dt>
<dd>further graphical parameters may also be supplied as
 arguments.</dd>
 
</dl>

BMMposteriori: Plot aposteriori probabilities of data points

Description

Usage

Value

Arguments

Author

Details

See Also