learnAlgo

character string with the estimation algorithm.
Possible values are "Simul", "Impute". Default value is "Simul".

algo

Integer defining the maximal number of iterations. Default value is 200.

nbIteration

Real defining the epsilon value for the algorithm. Not used
by the "Simul" algorithm. Default value is 1.e-7.

epsilon

There is two algorithms and two stopping rules possibles for a learning
algorithm.
<ul>
<li> Algorithms:
 <ul>
<li> <code>Impute</code> Impute the missing values during the iterations
 </li>
<li> <code>Simul</code> Simulate the missing values during the iterations
 </li>
</ul> </li>
<li> Stopping rules:
 <ul>
<li> <code>nbIteration</code> Set the maximum number of iterations.
 </li>
<li> <code>epsilon</code> Set relative increase of the log-likelihood criterion.
 </li>
</ul> </li>
<li> Default values are $200$ <code>nbIteration</code> of <code>Simul</code>.
</li>
</ul>The <code>epsilon</code> value is not used when the algorithm is "Simul". It is worth noting
that if there is no missing values, the method should be "Impute" and nbIteration
should be set to 1!

Algorithms and methods for estimating parametric mixture models for
mixed data and with missing data.

Serge Iovleff

MixAll

Clustering using Mixture Models

learnAlgo function

There is two algorithms and two stopping rules possibles for a learning
algorithm.
<ul>
<li> Algorithms:
 <ul>
<li> <code>Impute</code> Impute the missing values during the iterations
 </li>
<li> <code>Simul</code> Simulate the missing values during the iterations
 </li>
</ul>

 </li>
<li> Stopping rules:
 <ul>
<li> <code>nbIteration</code> Set the maximum number of iterations.
 </li>
<li> <code>epsilon</code> Set relative increase of the log-likelihood criterion.
 </li>
</ul>

 </li>
<li> Default values are $200$ <code>nbIteration</code> of <code>Simul</code>.
</li>
</ul>

The <code>epsilon</code> value is not used when the algorithm is "Simul". It is worth noting
that if there is no missing values, the method should be "Impute" and nbIteration
should be set to 1!

learnAlgo: Create an instance of the [`LearnAlgo`] class

Description

Usage

Arguments

Value

Examples