Extract outcome probabilities for randomLCA object

Description

Extract outcome probabilities and confidence intervals for a randomLCA object.

Usage

## S3 method for class 'randomLCA'
outcomeProbs(object,level = 0.95, boot=FALSE, type="norm",
    R=ifelse(type=="norm",199,999),...)

Arguments

Details

Confidence intervals are calculated based on asymptotic normality of the estimates transformed by either the inverse of the probit or logistic, or using parametric bootstrap. The asymptotic confidence intervals are currently only available for models without random effects. For the confidence intervals obtained from the parametric bootstrap, the bootstrap is performed on the data that has been transformed to the logit or probit scale, as appropriate. The samples are close to normal allowing for the use of confidence intervals based on the normal approximation. About 199 replications gives similar accuracy to percentile with 999.

Value

Data frame consisting of outcome probabilities and confidence intervals. One for each class.

Author(s)

Ken Beath

Examples

# standard latent class with 2 classes
dentistry.lca2 <- randomLCA(dentistry[,1:5],freq=dentistry$freq,nclass=2)
print(outcomeProbs(dentistry.lca2))

Results