fittedTrajectories {latrend}

Extract the fitted trajectories

Description

Extract the fitted trajectories

Usage

fittedTrajectories(object, ...)

## S4 method for signature 'lcModel'
fittedTrajectories(
  object,
  at = time(object),
  what = "mu",
  clusters = trajectoryAssignments(object),
  ...
)

Arguments

object

The model.

...

For lcModel: Additional arguments passed to fitted.lcModel.

at

The time points at which to compute the id-specific trajectories. The default implementation merely filters the output, i.e., fitted values can only be outputted for times at which the model was trained.

what

The distributional parameter to compute the response for.

clusters

The cluster assignments for the strata to base the trajectories on.

Details

The default lcModel implementation uses the output of fitted() of the respective model.

Value

A data.frame representing the fitted response per trajectory per moment in time for the respective cluster.

For lcModel: A data.frame with columns id, time, response, and "Cluster".

See Also

plotFittedTrajectories

Other lcModel functions: clusterNames(), clusterProportions(), clusterSizes(), clusterTrajectories(), coef.lcModel(), converged(), deviance.lcModel(), df.residual.lcModel(), estimationTime(), externalMetric(), fitted.lcModel(), getCall.lcModel(), getLcMethod(), ids(), lcModel-class, metric(), model.frame.lcModel(), nClusters(), nIds(), nobs.lcModel(), plot-lcModel-method, plotClusterTrajectories(), plotFittedTrajectories(), postprob(), predict.lcModel(), predictAssignments(), predictForCluster(), predictPostprob(), qqPlot(), residuals.lcModel(), sigma.lcModel(), strip(), time.lcModel(), trajectoryAssignments()

Examples

data(latrendData)
# Note: not a great example because the fitted trajectories
# are identical to the respective cluster trajectory
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time")
model <- latrend(method, latrendData)
fittedTrajectories(model)

fittedTrajectories(model, at = time(model)[c(1, 2)])