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 |