predictAssignments: Predict the cluster assignments for new trajectories

In latrend: A Framework for Clustering Longitudinal Data

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.

See Also

predictPostprob predict.lcModel

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)

latrend documentation built on March 31, 2023, 5:45 p.m.