dtwclust interface
# S4 method for lcMethodDtwclust
getName(object)# S4 method for lcMethodDtwclust
getShortName(object)
# S4 method for lcMethodDtwclust
preFit(method, data, envir, verbose, ...)
# S4 method for lcMethodDtwclust
fit(method, data, envir, verbose, ...)
# S4 method for lcModelDtwclust
converged(object, ...)
# S4 method for lcModelDtwclust
postprob(object, ...)
# S4 method for lcModelDtwclust
predictForCluster(object, newdata, cluster, what = "mu", ...)
The object to extract the label from.
The lcMethod object.
The data, as a data.frame, on which the model will be trained.
The environment in which the lcMethod should be evaluated
A R.utils::Verbose object indicating the level of verbosity.
Additional arguments.
Optional data.frame for which to compute the model predictions. If omitted, the model training data is used.
Cluster trajectory predictions are made when ids are not specified.
The cluster name (as character) to predict for.
The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying what = 'mb'.