BayesLCA-package {BayesLCA}

Bayesian Latent Class Analysis

Description

Bayesian latent class analysis using several different methods.

Details

Package:	BayesLCA
Type:	Package
Version:	1.4
Date:	2015-04-09
License:	GPL (>= 2)
LazyLoad:	yes

Author(s)

Arthur White and Brendan Murphy Maintainer: Arthur White <[e-mail]>

References

Arthur White, Thomas Brendan Murphy (2014). BayesLCA: An R Package for Bayesian Latent Class Analysis." Journal of Statistical Software, 61(13), 1-28. URL: http://www.jstatsoft.org/v61/i13/.

Examples

type1 <- c(0.8, 0.8, 0.2, 0.2)
type2 <- c(0.2, 0.2, 0.8, 0.8)
x <- rlca(1000, rbind(type1, type2), c(0.4,0.6))
fit.em <- blca.em(x, 2)
plot(fit.em, which=1)
print(fit.em)
summary(fit.em)
data(Alzheimer)
fit.vb <- blca(Alzheimer, 2, method="vb")
par(mfrow=c(3,3))
plot(fit.vb, which=3:4)
summary(fit.vb)
par(mfrow=c(1,1))