clusterProportions {latrend}

Proportional size of each cluster

Description

Obtain the proportional size per cluster, between 0 and 1.

Usage

clusterProportions(object, ...)

## S4 method for signature 'lcModel'
clusterProportions(object, ...)

Arguments

object

The model.

...

For lcModel objects: Additional arguments passed to postprob().

Value

A ⁠named numeric vector⁠ of length nClusters(object) with the proportional size of each cluster.

lcModel

By default, the cluster proportions are determined from the cluster-averaged posterior probabilities of the fitted data (as computed by the postprob() function).

Classes extending lcModel can override this method to return, for example, the exact estimated mixture proportions based on the model coefficients.

setMethod("clusterProportions", "lcModelExt", function(object, ...) {
  # return cluster proportion vector
})

See Also

nClusters clusterNames

clusterSizes postprob

Other lcModel functions: clusterNames(), clusterSizes(), clusterTrajectories(), coef.lcModel(), converged(), deviance.lcModel(), df.residual.lcModel(), estimationTime(), externalMetric(), 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(), 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, nClusters = 2)
clusterProportions(model)