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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
1.9
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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)
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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