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Extract the fitted trajectories for all strata
trajectories( object, at = time(object), what = "mu", clusters = trajectoryAssignments(object), ... )# S4 method for lcModel trajectories( object, at = time(object), what = "mu", clusters = trajectoryAssignments(object), ... )
# S4 method for lcModel trajectories( object, at = time(object), what = "mu", clusters = trajectoryAssignments(object), ... )
The model.
The time points at which to compute the id-specific trajectories.
The distributional parameter to compute the response for.
The cluster assignments for the strata to base the trajectories on.
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(), postprob(), predict.lcModel(), predictAssignments(), predictForCluster(), predictPostprob(), residuals.lcModel(), sigma.lcModel(), time.lcModel()
clusterTrajectories()
coef.lcModel()
converged()
deviance.lcModel()
df.residual.lcModel()
fitted.lcModel()
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) model <- latrend(method = lcMethodKML("Y", id = "Id", time = "Time"), data = latrendData) trajectories(model) trajectories(model, at = c(0, .5, 1)) # }
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