| BayesLCA-package | Bayesian Latent Class Analysis |
| Alzheimer | Symptoms of Patients Suffering from Alzheimer's Syndrome |
| as.mcmc.blca.gibbs | Converts 'blca.gibbs' Objects to type 'mcmc' |
| BayesLCA | Bayesian Latent Class Analysis |
| blca | Bayesian Latent Class Analysis with one of several methods |
| blca.boot | Bayesian Latent Class Analysis via an EM Algorithm and Using Empirical Bootstrapping |
| blca.em | Bayesian Latent Class Analysis via an EM Algorithm |
| blca.em.sd | Posterior Standard Deviation Estimates for Bayesian Latent Class Analysis via an EM Algorithm |
| blca.em.se | Posterior Standard Deviation Estimates for Bayesian Latent Class Analysis via an EM Algorithm |
| blca.gibbs | Bayesian Latent Class Analysis via Gibbs Sampling |
| blca.vb | Bayesian Latent Class Analysis via a variational Bayes algorithm |
| blca2mcmc | Converts 'blca.gibbs' Objects to type 'mcmc' |
| data.blca | Conveniently Format Data for Bayesian Latent Class |
| MAP | Maximum _a posteriori_ (MAP) Classification |
| plot.blca | Plot Parameter Summaries, Density Estimates and Model Diagnostics for Bayesian Latent Class Analysis |
| plot.blca.boot | Plot Parameter Summaries, Density Estimates and Model Diagnostics for Bayesian Latent Class Analysis |
| plot.blca.em | Plot Parameter Summaries, Density Estimates and Model Diagnostics for Bayesian Latent Class Analysis |
| plot.blca.gibbs | Plot Parameter Summaries, Density Estimates and Model Diagnostics for Bayesian Latent Class Analysis |
| plot.blca.vb | Plot Parameter Summaries, Density Estimates and Model Diagnostics for Bayesian Latent Class Analysis |
| print.blca | Bayesian Latent Class Analysis |
| print.summary.blca | Bayesian Latent Class Analysis |
| rlca | Randomly Generate Binary Data with Underlying Latent Classes |
| summary.blca | Bayesian Latent Class Analysis |
| summary.blca.boot | Bayesian Latent Class Analysis |
| summary.blca.em | Bayesian Latent Class Analysis |
| summary.blca.gibbs | Bayesian Latent Class Analysis |
| summary.blca.vb | Bayesian Latent Class Analysis |
| unMAP | Maximum _a posteriori_ (MAP) Classification |
| Zscore | Evaluating Class Membership of Binary Data |
| Zscore.internal | Evaluating Class Membership of Binary Data |