max.lcModels: Select the lcModel with the highest metric value

In latrend: A Framework for Clustering Longitudinal Data

Select the lcModel with the highest metric value

Description

Select the lcModel with the highest metric value

Usage

## S3 method for class 'lcModels'
max(x, name, ...)

Arguments

x	The lcModels object.
name	The name of the internal metric.
...	Additional arguments.

Value

The lcModel with the highest metric value

Functionality

• Print an argument summary for each of the models.

• Convert to a data.frame of method arguments.

• Subset the list.

• Compute an internal metric or external metric.

• Obtain the best model according to minimizing or maximizing a metric.

• Obtain the summed estimation time.

• Plot a metric across a variable.

• Plot the cluster trajectories.

See Also

min.lcModels externalMetric

Other lcModels functions: as.lcModels(), lcModels, lcModels-class, min.lcModels(), plotMetric(), print.lcModels(), subset.lcModels()

Examples

data(latrendData)
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time")

model1 <- latrend(method, latrendData, nClusters = 1)
model2 <- latrend(method, latrendData, nClusters = 2)
model3 <- latrend(method, latrendData, nClusters = 3)

models <- lcModels(model1, model2, model3)

if (require("clusterCrit")) {
  max(models, "Dunn")
}

latrend documentation built on May 29, 2024, 8:51 a.m.