Specify non-parametric estimation for independent repeated measures — lcMethodMixtoolsNPRM • latrend

Specify non-parametric estimation for independent repeated measures

lcMethodMixtoolsNPRM(
  response,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  nClusters = 2,
  blockid = NULL,
  bw = NULL,
  h = NULL,
  ...
)

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.
blockid: See mixtools::npEM.
bw: See mixtools::npEM.
h: See mixtools::npEM.
...: Arguments passed to mixtools::npEM. The following optional arguments are ignored: data, x, mu0, verb.

References

benaglia2009mixtoolslatrend

See also

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

Examples

data(latrendData)

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