clusterCategoricalNames

clusterValidCategoricalNames

A character string equal to "equal", "free" or "all". Default is "all".

prop

probabilities

names


In a Categorical mixture model, we can build 4 models:
<ol>
<li> The proportions can be equal or free.
 </li>
<li> The probabilities can be equal or free for all the variables.
</li>
</ol><p></p><p>
check if a vector of Categorical mixture model name is correct.
</p>

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

Serge Iovleff

MixAll

Clustering using Mixture Models

clusterCategoricalNames function


In a Categorical mixture model, we can build 4 models:
<ol>
<li> The proportions can be equal or free.
 </li>
<li> The probabilities can be equal or free for all the variables.
</li>
</ol>


check if a vector of Categorical mixture model name is correct.


Model Name	Proportions
Probabilities between variables	categorical_p_pjk
Equal	Free
categorical_p_pk	Equal
Equal	categorical_pk_pjk
Free	Free
categorical_pk_pk	Free
Equal	Model Name

clusterCategoricalNames: Create a vector of Categorical mixture model names.

Description

Usage

Arguments

Value

Details

Examples