Specify a longitudinal k-means (KML) method

Specify a longitudinal k-means (KML) method

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

Genolini C, Alacoque X, Sentenac M, Arnaud C (2015). “kml and kml3d: R Packages to Cluster Longitudinal Data.” Journal of Statistical Software, 65(4), 1--34. doi:10.18637/jss.v065.i04 .

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)
}
#>  ~ Fast KmL ~
#> ********************S