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Posterior probability per fitted id
# S4 method for lcModel postprob(object, ...)
The lcModel.
lcModel
Additional arguments.
Other model-specific methods: clusterTrajectories(), coef.lcModel(), converged(), deviance.lcModel(), df.residual.lcModel(), fitted.lcModel(), lcModel-class, logLik.lcModel(), model.frame.lcModel(), nobs.lcModel(), predict.lcModel(), predictAssignments(), predictForCluster(), predictPostprob(), residuals.lcModel(), sigma.lcModel(), time.lcModel(), trajectories()
clusterTrajectories()
coef.lcModel()
converged()
deviance.lcModel()
df.residual.lcModel()
fitted.lcModel()
lcModel-class
logLik.lcModel()
model.frame.lcModel()
nobs.lcModel()
predict.lcModel()
predictAssignments()
predictForCluster()
predictPostprob()
residuals.lcModel()
sigma.lcModel()
time.lcModel()
trajectories()
# NOT RUN { data(latrendData) model <- latrend(lcMethodLcmmGMM(fixed = Y ~ Time, mixture = ~ Time, id = "Id", time = "Time"), data = latrendData) postprob(model) # }
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