STCparam-class

<dl class="dl-horizontal">
 <dt>proportions</dt><dd>numeric. It defines the component proportions.</dd>
 <dt>lambda</dt><dd>list. It defines the logistic coefficients per component.</dd>
 <dt>beta</dt><dd>list. It defines the polynom coefficients per component.</dd>
 <dt>sigma</dt><dd>matrix. It defines the variance associated to each polynom per component.</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

STCparam-class function

<dl class='dl-horizontal'>
 <dt>proportions</dt><dd>numeric. It defines the component proportions.</dd>
 <dt>lambda</dt><dd>list. It defines the logistic coefficients per component.</dd>
 <dt>beta</dt><dd>list. It defines the polynom coefficients per component.</dd>
 <dt>sigma</dt><dd>matrix. It defines the variance associated to each polynom per component.</dd>
</dl>

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

Description

Arguments

Examples