lcMethodDtwclust: Specify time series clustering via dtwclust

In latrend: A Framework for Clustering Longitudinal Data

Specify time series clustering via dtwclust

Description

Specify time series clustering via dtwclust

Usage

lcMethodDtwclust(
  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	Number of clusters.
...	Arguments passed to dtwclust::tsclust. The following arguments are ignored: series, k, trace.

References

\insertRef

sardaespinosa2019timelatrend

See Also

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

Examples

data(latrendData)

if (require("dtwclust")) {
  method <- lcMethodDtwclust("Y", id = "Id", time = "Time", nClusters = 3)
  # reduced sample size to lower runtime
  model <- latrend(method, latrendData[1:500, ])
}

latrend documentation built on Aug. 8, 2025, 6:59 p.m.