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latrend (version 1.2.1)

confusionMatrix: Compute the posterior confusion matrix

Description

Compute the posterior confusion matrix (PCM). The entry \((i,j)\) represents the probability (or number, in case of scale = TRUE) of a trajectory belonging to cluster \(i\) is assigned to cluster \(j\) under the specified trajectory cluster assignment strategy.

Usage

confusionMatrix(object, strategy = which.max, scale = TRUE, ...)

Arguments

object

The model, of type lcModel.

strategy

The strategy for assigning trajectories to a specific cluster, see trajectoryAssignments(). If strategy = NULL, the posterior probabilities are used as weights (analogous to a repeated evaluation of strategy = which.weight).

scale

Whether to express the confusion in probabilities (scale = TRUE), or in terms of the number of trajectories.

...

Arguments passed on to trajectoryAssignments

Value

A K-by-K confusion matrix with K = nClusters(object).

See Also

postprob clusterProportions trajectoryAssignments APPA OCC

Examples

Run this code
# NOT RUN {
data(latrendData)
model = latrend(lcMethodLcmmGMM(
  fixed = Y ~ Time, mixture = ~ Time, random = ~ 1,
  id = "Id", time = "Time"),
  data=latrendData)
confusionMatrix(model)
# }

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