R: Predict the cluster assignments for new trajectories

predictAssignments

R Documentation

Predict the cluster assignments for new trajectories

Description

Computes the posterior probability based on the provided (observed) data.

Usage

## S4 method for signature 'lcModel'
predictAssignments(object, newdata = NULL, strategy = which.max, ...)

Arguments

`object`	The `lcModel` object.
`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.
`strategy`	A function returning the cluster index based on the given `vector` of membership probabilities. By default (`strategy = which.max`), trajectories are assigned to the most likely cluster.
`...`	Additional arguments.

Details

The default implementation uses predictPostprob to determine the cluster membership.

Value

A factor of length nrow(newdata) that indicates the assigned cluster per trajectory per observation.

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

Examples

## Not run: 
data(latrendData)
if (require("kml")) {
  model <- latrend(method = lcMethodKML("Y", id = "Id", time = "Time"), latrendData)
  predictAssignments(model, newdata = data.frame(Id = 999, Y = 0, Time = 0))
}

## End(Not run)