STCcriteria-class

<dl class="dl-horizontal">
 <dt>loglike</dt><dd>numeric. It indicates the value of the log-likelihood.</dd>
 <dt>AIC</dt><dd>numeric. It indicates the value of the AIC criterion.</dd>
 <dt>BIC</dt><dd>numeric. It indicates the value of the BIC criterion.</dd>
 <dt>ICL</dt><dd>numeric. It indicates the value of the ICL criterion.</dd>
</dl>

Mixture model is used to achieve the clustering goal. Each component is itself a mixture model of polynomial autoregressive regressions whose the logistic weights consider the spatial and temporal information.

Matthieu Marbac

SpaTimeClus

Model-Based Clustering of Spatio-Temporal Data

STCcriteria-class function

<dl class='dl-horizontal'>
 <dt>loglike</dt><dd>numeric. It indicates the value of the log-likelihood.</dd>
 <dt>AIC</dt><dd>numeric. It indicates the value of the AIC criterion.</dd>
 <dt>BIC</dt><dd>numeric. It indicates the value of the BIC criterion.</dd>
 <dt>ICL</dt><dd>numeric. It indicates the value of the ICL criterion.</dd>
</dl>

Constructor of [<code><a href='<a href='STCcriteria'></a>'>STCcriteria</a></code>] class — STCcriteria-class

Constructor of [<code><a href='<a href='STCcriteria'></a>'>STCcriteria</a></code>] class

Constructor of [<code><a href="/link/?package=SpaTimeClus&version=1.0.1" stccriteria'="" data-mini-rdoc="SpaTimeClus::"></a>'>STCcriteria</code>] class

STCcriteria-class: Constructor of [`'>STCcriteria`] class

Description

Arguments

Examples