dtwclust interface
# S4 method for lcMethodDtwclust
getArgumentDefaults(object)# S4 method for lcMethodDtwclust
getArgumentExclusions(object)
# 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 lcMethod or lcModel object.
An object inheriting from lcMethod with all its arguments having been evaluated and finalized.
A data.frame representing the transformed training data.
The environment containing variables generated by prepareData() and preFit().
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'.