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Check convergence of the fitted lcModel object. The default implementation returns NA.
lcModel
NA
# S4 method for lcModel converged(object, ...)
The lcModel to check for convergence.
Additional arguments.
Either logical indicating convergence, or a numeric status code.
logical
numeric
Classes extending lcModel can override this method to return a convergence status or code.
setMethod("converged", "lcModelExt", function(object, ...) { # return convergence code })
Other model-specific methods: clusterTrajectories(), coef.lcModel(), deviance.lcModel(), df.residual.lcModel(), fitted.lcModel(), fittedTrajectories(), lcModel-class, logLik.lcModel(), model.frame.lcModel(), nobs.lcModel(), postprob(), predict.lcModel(), predictAssignments(), predictForCluster(), predictPostprob(), residuals.lcModel(), sigma.lcModel(), time.lcModel()
clusterTrajectories()
coef.lcModel()
deviance.lcModel()
df.residual.lcModel()
fitted.lcModel()
fittedTrajectories()
lcModel-class
logLik.lcModel()
model.frame.lcModel()
nobs.lcModel()
postprob()
predict.lcModel()
predictAssignments()
predictForCluster()
predictPostprob()
residuals.lcModel()
sigma.lcModel()
time.lcModel()
# NOT RUN { data(latrendData) method <- lcMethodLcmmGBTM(fixed = Y ~ Time, mixture = ~ 1, id = "Id", time = "Time", nClusters = 3) gbtm <- latrend(method, data = latrendData) converged(gbtm) # }
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