latrend: confusionMatrix – R documentation

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confusionMatrix

Compute the posterior confusion matrix

Description

Compute a nClusters x nClusters posterior confusion matrix (PCM). The entry (i,j) represents the probability of a trajectory belonging to class i is assigned to class j under a given assignment strategy.

Usage

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

Arguments

`object`	The object.
`strategy`	The trajectoryAssignments strategy to compute the PCM under. If `strategy = NULL`, weighted random assignment is assumed (analogous to a repeated [which.weight] strategy evaluation).
`scale`	Whether to express the confusion in probabilities (`scale = TRUE`), or in the number of trajectories.

Examples

data(latrendData)
model = latrend(lcMethodLcmmGMM(
  fixed = Y ~ Time, mixture = ~ Time, random = ~ 1,
  id = "Id", time = "Time"),
  data=latrendData)
confusionMatrix(model)

latrend

A Framework for Clustering Longitudinal Data

v1.1.2

GPL (>= 2)

Authors

Initial release

2021-04-14