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.
fitted.lcModel trajectories data(latrendData) model <- latrend(lcMethodLcmmGMM(fixed = Y ~ Time, mixture = ~ Time, id = "Id", time = "Time"), data = latrendData) summary(residuals(model))
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()