Specify a FunFEM method

Specify a FunFEM method

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

bouveyron2015funfemlatrend

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)
   }
  )
}
#> Loading required package: funFEM
#> Loading required package: MASS
#> Loading required package: fda
#> Loading required package: splines
#> Loading required package: fds
#> Loading required package: rainbow
#> Loading required package: pcaPP
#> Loading required package: RCurl
#> Loading required package: deSolve
#> 
#> Attaching package: ‘fda’
#> The following object is masked from ‘package:lattice’:
#> 
#>     melanoma
#> The following object is masked from ‘package:graphics’:
#> 
#>     matplot
#> Loading required package: elasticnet
#> Loading required package: lars
#> Loaded lars 1.3