VSLCMcriteria-class

<dl class="dl-horizontal">
 <dt>loglikelihood</dt><dd>numeric. Log-likelihood</dd>
 <dt>AIC</dt><dd>numeric. Value of the AIC criterion.</dd>
 <dt>BIC</dt><dd>numeric. Value of the BIC criterion.</dd>
 <dt>ICL</dt><dd>numeric. Value of the ICL criterion.</dd>
 <dt>MICL</dt><dd>numeric. Value of the MICL criterion.</dd>
 <dt>nbparam</dt><dd>integer. Number of parameters.</dd>
 <dt>cvrate</dt><dd>numeric. Rate of convergence of the alternated algorithm for optimizing the MICL criterion.</dd>
 <dt>degeneracyrate</dt><dd>numeric. Rate of degeneracy for the selected model.</dd>
 <dt>discrim</dt><dd>numeric. Discriminative power of each variable.</dd>
</dl>

Full model selection (detection of the relevant features and estimation of the number of clusters) for model-based clustering (see reference here <doi:10.1007/s11222-016-9670-1>). Data to analyze can be continuous, categorical, integer or mixed. Moreover, missing values can occur and do not necessitate any pre-processing. Shiny application permits an easy interpretation of the results.

Mohammed Sedki

VarSelLCM

Variable Selection for Model-Based Clustering of Mixed-Type Data
Set with Missing Values

VSLCMcriteria-class function

<dl class='dl-horizontal'>
 <dt>loglikelihood</dt><dd>numeric. Log-likelihood</dd>
 <dt>AIC</dt><dd>numeric. Value of the AIC criterion.</dd>
 <dt>BIC</dt><dd>numeric. Value of the BIC criterion.</dd>
 <dt>ICL</dt><dd>numeric. Value of the ICL criterion.</dd>
 <dt>MICL</dt><dd>numeric. Value of the MICL criterion.</dd>
 <dt>nbparam</dt><dd>integer. Number of parameters.</dd>
 <dt>cvrate</dt><dd>numeric. Rate of convergence of the alternated algorithm for optimizing the MICL criterion.</dd>
 <dt>degeneracyrate</dt><dd>numeric. Rate of degeneracy for the selected model.</dd>
 <dt>discrim</dt><dd>numeric. Discriminative power of each variable.</dd>
</dl>

Constructor of <code><a href='<a href='VSLCMcriteria'></a>'>VSLCMcriteria</a></code> class — VSLCMcriteria-class

Constructor of <code><a href='<a href='VSLCMcriteria'></a>'>VSLCMcriteria</a></code> class

Constructor of <code><a href="/link/?package=VarSelLCM&version=2.1.3.1" vslcmcriteria'="" data-mini-rdoc="VarSelLCM::"></a>'>VSLCMcriteria</code> class

VSLCMcriteria-class: Constructor of `'>VSLCMcriteria` class

Description

Arguments

Examples