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Summarises the fit of a randomLCA object.
# S3 method for randomLCA summary(object, ...)
Log Likelihood
AIC
BIC
AIC with penalty of 3
no of classes
link is probit
class probabilities
outcome probabilities (conditional)
outcome probabilities (marginal), if model contains random effects
model includes random effects
model has 2 level hierarchy
loadings are constant by outcome
lambda and tau vary by class
lambda coefficients
tau coefficients
randomLCA object
additional argument; currently none is used.
Ken Beath
# \donttest{ pap.lca1 <- randomLCA(pap[, 1:10], freq = pap$Freq, nclass = 1, cores = 1) summary(pap.lca1) # }
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