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),
...
)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. |
Bouveyron C (2015). funFEM: Clustering in the Discriminative Functional Subspace. R package version 1.1, https://CRAN.R-project.org/package=funFEM.
Other lcMethod implementations:
lcMethod-class,
lcMethodAkmedoids,
lcMethodCrimCV,
lcMethodCustom,
lcMethodDtwclust,
lcMethodFeature,
lcMethodGCKM,
lcMethodKML,
lcMethodLMKM,
lcMethodLcmmGBTM,
lcMethodLcmmGMM,
lcMethodLongclust,
lcMethodMclustLLPA,
lcMethodMixAK_GLMM,
lcMethodMixtoolsGMM,
lcMethodMixtoolsNPRM,
lcMethodRandom,
lcMethodStratify
library(funFEM)
library(fda)
data(latrendData)
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)
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