| fitted.lcModel {latrend} | R Documentation |
Extract lcModel fitted values
Description
Returns the cluster-specific fitted values for the given lcModel object.
The default implementation calls predict() with newdata = NULL.
Usage
## S3 method for class 'lcModel'
fitted(object, ..., clusters = trajectoryAssignments(object))
Arguments
object |
The |
... |
Additional arguments. |
clusters |
Optional cluster assignments per id. If unspecified, a |
Value
A numeric vector of the fitted values for the respective class, or a matrix of fitted values for each cluster.
Implementation
Classes extending lcModel can override this method to adapt the computation of the predicted values for the training data.
Note that the implementation of this function is only needed when predict() and predictForCluster() are not defined for the lcModel subclass.
fitted.lcModelExt <- function(object, ..., clusters = trajectoryAssignments(object)) {
pred = predict(object, newdata = NULL)
transformFitted(pred = pred, model = object, clusters = clusters)
}
The transformFitted() function takes care of transforming the prediction input to the right output format.
See Also
fittedTrajectories plotFittedTrajectories stats::fitted predict.lcModel trajectoryAssignments transformFitted
Other lcModel functions:
clusterNames(),
clusterProportions(),
clusterSizes(),
clusterTrajectories(),
coef.lcModel(),
converged(),
deviance.lcModel(),
df.residual.lcModel(),
estimationTime(),
externalMetric(),
fittedTrajectories(),
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)
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time")
model <- latrend(method, latrendData)
fitted(model)