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BayesLCA :An R Package for Bayesian Latent Class Analysis

Authors: 

Arthur White, Brendan Murphy

Publication Type: 
Refereed Original Article
Abstract: 
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 approxima- tion. The article briefly outlines the methodology behind each of these techniques and discusses some of the technical di
Digital Object Identifer (DOI): 
10.NA
Publication Status: 
Published
Publication Date: 
01/11/2014
Journal: 
Journal of Statiscal Software
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No
Publication document: