NMixPlugDA

an object of class <code>NMixMCMC</code>

object

vector, matrix or data frame with observations to be clustered

It performs discriminant analysis based on 
 posterior summary for (re-labeled) mixture
 components in a model with fixed number of components fitted with
 <code>NMixMCMC</code> function.

multivariate

smooth

cluster

Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models.

Arnošt Komárek

mixAK

Multivariate Normal Mixture Models and Mixtures of Generalized
Linear Mixed Models Including Model Based Clustering

NMixPlugDA function

<dl> <dt>object</dt>
<dd>an object of class <code>NMixMCMC</code></dd> <dt>y</dt>
<dd>vector, matrix or data frame with observations to be clustered</dd></dl>

Arguments

Arnošt Komárek <a href="/link/arnost.komarek%40mff.cuni.cz?package=mixAK&version=5.4" data-mini-rdoc="mixAK::arnost.komarek@mff.cuni.cz">arnost.komarek@mff.cuni.cz</a>

Author

Discriminant analysis based on plug-in estimates from the mixture model — NMixPlugDA

<dl>

 <dt>object</dt>
<dd>an object of class <code>NMixMCMC</code></dd>

 <dt>y</dt>
<dd>vector, matrix or data frame with observations to be clustered</dd>

</dl>

Arnošt Komárek <a href='mailto:arnost.komarek@mff.cuni.cz'>arnost.komarek@mff.cuni.cz</a>

NMixPlugDA: Discriminant analysis based on plug-in estimates from the mixture model

Description

Usage

Value

Arguments

Author

See Also