lcMethodFunFEM {latrend}

Specify a FunFEM method

Description

Specify a FunFEM method

Usage

lcMethodFunFEM(
  response,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  nClusters = 2,
  basis = function(time) fda::create.bspline.basis(time, nbasis = 10, norder = 4),
  ...
)

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.

basis

The basis function. By default, a 3rd-order B-spline with 10 breaks is used.

...

Arguments passed to funFEM::funFEM. The following external arguments are ignored: fd, K, disp, graph.

References

Bouveyron C (2015). funFEM: Clustering in the Discriminative Functional Subspace. R package version 1.1, https://CRAN.R-project.org/package=funFEM.

See Also

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

Examples

data(latrendData)

if (require("funFEM") && require("fda")) {
  method <- lcMethodFunFEM("Y", id = "Id", time = "Time", nClusters = 3)
  model <- latrend(method, latrendData)

  method <- lcMethodFunFEM("Y",
   basis = function(time) {
      create.bspline.basis(time, nbasis = 10, norder = 4)
   }
  )
}