clusterCategoricalNames: Create a vector of Categorical mixture model names.

In MixAll: Clustering and Classification using Model-Based Mixture Models

Description

In a Categorical mixture model, we can build 4 models:

1. The proportions can be equal or free.

2. The probabilities can be equal or free for all the variables.

Usage

clusterCategoricalNames(prop = "all", probabilities = "all")

clusterValidCategoricalNames(names)

Arguments

prop	A character string equal to "equal", "free" or "all". Default is "all".
probabilities	A character string equal to "equal", "free" or "all". Default is "all".
names	a vector of character

Details

The model names are summarized in the following array:

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

Value

A vector of character with the model names.

Examples

clusterCategoricalNames()
clusterCategoricalNames("all", "equal") # same as c( "categorical_pk_pk", "categorical_p_pk")

MixAll documentation built on Sept. 7, 2019, 3 a.m.