latrend (version 1.0.1)

predict.lcModel: lcModel predictions

Description

Predicts the expected trajectory observations at the given time for each cluster, unless specified.

Usage

# S3 method for lcModel
predict(object, ..., newdata = NULL, what = "mu")

Arguments

object

The lcModel object.

...

Additional arguments.

newdata

Optional data frame for which to compute the model predictions. If omitted, the model training data is used. Cluster trajectory predictions are made when ids are not specified. If the clusters are specified under the Cluster column, output is given only for the specified cluster. Otherwise, a matrix is returned with predictions for all clusters.

what

The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying what='mb'.

Value

If newdata specifies the cluster membership; a vector of cluster-specific predictions. Otherwise, a matrix of predictions is returned corresponding to each cluster.

Details

The default predict.lcModel implementation.

See Also

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(), predictAssignments(), predictForCluster(), predictPostprob(), residuals.lcModel(), sigma.lcModel(), time.lcModel(), trajectories()

Examples

# NOT RUN {
data(latrendData)
model <- latrend(lcMethodLcmmGMM(Y ~ Time + (1 | Id), id = "Id", time = "Time"), latrendData)
predFitted <- predict(model) # same result as fitted(model)

# Cluster trajectory of cluster A
predCluster <- predict(model, newdata = data.frame(Cluster = "A", Time = time(model)))

# Prediction for id S1 given cluster A membership
predId <- predict(model, newdata = data.frame(Cluster = "A", Id = "S1", Time = time(model)))

# Prediction matrix for id S1 for all clusters
predIdAll <- predict(model, newdata = data.frame(Id = "S1", Time = time(model)))
# }