| lcMethodKML {latrend} | R Documentation |
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
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)
}