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BayesLCA (version 1.9)

Bayesian Latent Class Analysis

Description

Bayesian Latent Class Analysis using several different methods.

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Version

Install

install.packages('BayesLCA')

Monthly Downloads

566

Version

1.9

License

GPL (>= 2)

Maintainer

Arthur White

Last Published

May 6th, 2020

Functions in BayesLCA (1.9)

BayesLCA-package

Bayesian Latent Class Analysis
plot.blca

Plot Parameter Summaries, Density Estimates and Model Diagnostics for Bayesian Latent Class Analysis
rlca

Randomly Generate Binary Data with Underlying Latent Classes
blca.boot

Bayesian Latent Class Analysis via an EM Algorithm and Using Empirical Bootstrapping
print.blca

Bayesian Latent Class Analysis
blca.em

Bayesian Latent Class Analysis via an EM Algorithm
summary.blca

Bayesian Latent Class Analysis
blca.em.sd

Posterior Standard Deviation Estimates for Bayesian Latent Class Analysis via an EM Algorithm
blca.gibbs

Bayesian Latent Class Analysis via Gibbs Sampling
blca

Bayesian Latent Class Analysis with one of several methods
as.mcmc.blca.gibbs

Converts blca.gibbs Objects to type mcmc
MAP

Maximum a posteriori (MAP) Classification
Zscore

Evaluating Class Membership of Binary Data
blca.vb

Bayesian Latent Class Analysis via a variational Bayes algorithm
data.blca

Conveniently Format Data for Bayesian Latent Class
Alzheimer

Symptoms of Patients Suffering from Alzheimer's Syndrome