Extract the residuals for a fitted lcModel
object.
By default, residuals are computed under the most likely cluster assignment for each trajectory.
# S3 method for lcModel
residuals(object, ..., clusters = trajectoryAssignments(object))
The lcModel
object.
Additional arguments.
Optional cluster assignments per id. If unspecified, a matrix
is returned containing the cluster-specific predictions per column.
A numeric vector
of residuals for the cluster assignments specified by clusters.
If the clusters
argument is unspecified, a matrix
of cluster-specific residuals per observations is returned.
Other model-specific methods:
clusterTrajectories()
,
coef.lcModel()
,
converged()
,
deviance.lcModel()
,
df.residual.lcModel()
,
fitted.lcModel()
,
fittedTrajectories()
,
lcModel-class
,
logLik.lcModel()
,
model.frame.lcModel()
,
nobs.lcModel()
,
postprob()
,
predict.lcModel()
,
predictAssignments()
,
predictForCluster()
,
predictPostprob()
,
sigma.lcModel()
,
time.lcModel()