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randomLCA (version 1.1-3)
Random Effects Latent Class Analysis
Description
Fits standard and random effects latent class models. The single level random effects model is described in Qu et al
and the two level random effects model in Beath and Heller
. Examples are given for their use in diagnostic testing.
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1.1-3
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Install
install.packages('randomLCA')
Monthly Downloads
685
Version
1.1-3
License
GPL (>= 2)
Maintainer
Ken Beath
Last Published
June 22nd, 2023
Functions in randomLCA (1.1-3)
Search functions
hivtests
HIV testing data
logLik
log Likelikelihood for randomLCA object
maxPostClass
Determines class with maximum posterior class probability for each observation
ranef
Extract random effects from a randomLCA object
refit
Refit an randomLCA object
uterinecarcinoma
Uterine Carcinoma Data
symptoms
Symptoms data
simulate
Simulate
summary.randomLCA
Summary for randomLCA object
fitted
fitted values
calcCondProb
Calculate Conditional Outcome Probabilities
AIC
AIC for randomLCA object
calcCond2Prob
Calculate Conditional Outcome Probabilities for 2 Level Models
classProbs
Determines class probabilities for fitted model
genderrole
Gender Role Opinion Items
AIC3
AIC with 3 penalty for randomLCA object
outcomeProbs
Extract outcome probabilities for randomLCA object
calcMargProb
Calculates Marginal Outcome Probabilities
BIC
BIC for randomLCA object
randomLCA
Fits a Latent Class Model including a Random Effect
pap
Positive Action program implementation
myocardial
Myocardial Infarction (MI)
postClassProbs
Determines posterior class probabilities for fitted model
dentistry
Dental X-ray data
plot
Plot a randomLCA object
print.randomLCA
print for randomLCA object