LCAs: Construct a poset of latent class analysis models.

In sBIC: Computing the Singular BIC for Multiple Models

Description

Creates an object representing a collection of latent class analysis models. There is one model for each fixed number of latent classes from 1 to some specified maximum. In particular each model is identified by a single number specifiying the number of latent classes in the model. Models are naturally ordered by inclusion so that, for example, a model with 2 latent classes comes before a model with 3 or more latent classes.

Usage

LCAs(maxNumClasses = 1, numVariables = 2,
     numStatesForVariables = 2, phi = "default")

Arguments

maxNumClasses	the number of classes in the largest LCA model to considered.
numVariables	the number of observed variables.
numStatesForVariables	the number of states for each observed variable, at the moment these must all be equal.
phi	parameter controlling the strength of the sBIC penalty.

Value

An object representing the collection.

sBIC documentation built on May 2, 2019, 4:16 a.m.