BayesLCA: An R Package for Bayesian Latent Class Analysis

The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian setting. Three methods for fitting the model are provided, incorporating an expectation-maximization algorithm, Gibbs sampling and a variational Bayes approximation. The article briefly outlines the meth...

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Bibliographic Details
Main Authors: Arthur White, Thomas Brendan Murphy
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2014-11-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/2201