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 |