summary.blca: Bayesian Latent Class Analysis

In BayesLCA: Bayesian Latent Class Analysis

Description

Summary method for class "blca".

Usage

## S3 method for class 'blca'
summary(object, ...)

Arguments

object	Object of class blca.
...	Additional arguments to be passed onto lower-level functions at a later stage of development.

Value

A brief summary consisting of two parts: the prior values specified to the model, and model diagnostics specific to the inference method used, such as information about the log-posterior (or lower bound in the case of blca.vb), as well the number of iterations the algorithm ran for, etc..

Author(s)

Arthur White

Examples

data(Alzheimer)
summary(blca.em(Alzheimer, 2))
summary(blca.vb(Alzheimer, 2, alpha=2, beta=2, delta=0.5))

## Not run: (fit.gibbs)<- blca.gibbs(Alzheimer, 2, delta=2)
## Not run: summary(fit.gibbs)

BayesLCA documentation built on July 2, 2020, 12:11 a.m.