clusterProportions: Proportional size of each cluster

In latrend: A Framework for Clustering Longitudinal Data

Proportional size of each cluster

Description

Obtain the proportional size per cluster, with sizes between 0 and 1. By default, the cluster proportions are determined from the cluster-averaged posterior probabilities of the fitted data (as computed by the postprob() function).

Usage

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

Arguments

object	The lcModel to obtain the proportions from.
...	Additional arguments passed to postprob().

Value

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

Implementation

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

clusterSizes postprob

Other lcModel functions: clusterNames(), 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(), 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)

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