R: Random Effects Latent Class Analysis

# Random Effects Latent Class Analysis

## Documentation for package ‘randomLCA’ version 1.1-4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

AIC.randomLCA | AIC for randomLCA object
AIC3 | AIC with 3 penalty for randomLCA object
BIC.randomLCA | BIC for randomLCA object
calcCond2Prob | Calculate Conditional Outcome Probabilities for 2 Level Models
calcCondProb | Calculate Conditional Outcome Probabilities
calcMargProb | Calculates Marginal Outcome Probabilities
classProbs | Determines class probabilities for fitted model
dentistry | Dental X-ray data
fitted.randomLCA | fitted values
genderrole | Gender Role Opinion Items
hivtests | HIV testing data
logLik.randomLCA | log Likelikelihood for randomLCA object
maxPostClass | Determines class with maximum posterior class probability for each observation
maxPostClass.randomLCA | Determines class with maximum posterior class probability for each observation
myocardial | Myocardial Infarction (MI)
outcomeProbs | Extract outcome probabilities for randomLCA object
outcomeProbs.randomLCA | Extract outcome probabilities for randomLCA object
pap | Positive Action program implementation
plot.randomLCA | Plot a randomLCA object
postClassProbs | Determines posterior class probabilities for fitted model
postClassProbs.randomLCA | Determines posterior class probabilities for fitted model
print.randomLCA | print for randomLCA object
randomLCA | Fits a Latent Class Model including a Random Effect
ranef | Extract random effects from a randomLCA object
ranef.randomLCA | Extract random effects from a randomLCA object
refit | Refit an randomLCA object
refit.randomLCA | Refit an randomLCA object
simulate.randomLCA | Simulate
summary.randomLCA | Summary for randomLCA object
symptoms | Symptoms data
uterinecarcinoma | Uterine Carcinoma Data