| 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 |