lcMethodKML: Specify a longitudinal k-means (KML) method

In philips-software/latrend: A Framework for Clustering Longitudinal Data

Specify a longitudinal k-means (KML) method

Description

Specify a longitudinal k-means (KML) method

Usage

lcMethodKML(
  response,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  nClusters = 2,
  ...
)

Arguments

response	The name of the response variable.
time	The name of the time variable.
id	The name of the trajectory identifier variable.
nClusters	The number of clusters to estimate.
...	Arguments passed to kml::parALGO and kml::kml. The following external arguments are ignored: object, nbClusters, parAlgo, toPlot, saveFreq

References

\insertRef

genolini2015kmllatrend

See Also

Other lcMethod implementations: getArgumentDefaults(), getArgumentExclusions(), lcMethod-class, lcMethodAkmedoids, lcMethodCrimCV, lcMethodDtwclust, lcMethodFeature, lcMethodFunFEM, lcMethodFunction, lcMethodGCKM, lcMethodLMKM, lcMethodLcmmGBTM, lcMethodLcmmGMM, lcMethodMclustLLPA, lcMethodMixAK_GLMM, lcMethodMixtoolsGMM, lcMethodMixtoolsNPRM, lcMethodRandom, lcMethodStratify

Examples

data(latrendData)

if (require("kml")) {
  method <- lcMethodKML("Y", id = "Id", time = "Time", nClusters = 3)
  model <- latrend(method, latrendData)
}

philips-software/latrend documentation built on July 16, 2025, 5:43 p.m.