clusterPoissonNames: Create a vector of Poisson mixture model names.

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

Description

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

1. The proportions can be equal or free.

2. The means can be equal, free or proportional for all the variables.

Usage

clusterPoissonNames(prop = "all", mean = "all")

clusterValidPoissonNames(names)

Arguments

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

Details

The model names are summarized in the following array:

Model Name	Proportions	Mean between variables
poisson_p_ljk	Equal	Free
poisson_p_lk	Equal	Equal
poisson_p_ljlk	Equal	Proportional
poisson_pk_ljk	Free	Free
poisson_pk_lk	Free	Equal
poisson_pk_ljlk	Free	Proportional

Value

A vector of character with the model names.

Examples

clusterPoissonNames()
clusterPoissonNames("all", "proportional") # same as c( "poisson_pk_ljlk", "poisson_p_ljlk")

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