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