lavaan
class represents a (fitted) latent variable
model. It contains a description of the model as specified by the user,
a summary of the data, an internal matrix representation, and if the model
was fitted, the fitting results.cfa
, sem
, growth
,
fitMeasures
, standardizedSolution
,
parameterEstimates
,
modindices
HS.model <- 'visual =~ x1 + x2 + x3
textual =~ x4 + x5 + x6
speed =~ x7 + x8 + x9 '
fit <- cfa(HS.model, data=HolzingerSwineford1939)
summary(fit, standardized=TRUE, fit.measures=TRUE, rsquare=TRUE)
inspect(fit, "free")
inspect(fit, "start")
inspect(fit, "rsquare")
inspect(fit, "fit")
fitted.values(fit)
coef(fit)
resid(fit, type="normalized")
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