Random Effects Latent Class Analysis

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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