interface-dtwclust: dtwclust interface

In philips-software/latrend: A Framework for Clustering Longitudinal Data

dtwclust interface

Description

dtwclust interface

Usage

## S4 method for signature 'lcMethodDtwclust'
getArgumentDefaults(object)

## S4 method for signature 'lcMethodDtwclust'
getArgumentExclusions(object)

## S4 method for signature 'lcMethodDtwclust'
getCitation(object, ...)

## S4 method for signature 'lcMethodDtwclust'
getName(object)

## S4 method for signature 'lcMethodDtwclust'
getShortName(object)

## S4 method for signature 'lcMethodDtwclust'
preFit(method, data, envir, verbose, ...)

## S4 method for signature 'lcMethodDtwclust'
fit(method, data, envir, verbose, ...)

## S4 method for signature 'lcModelDtwclust'
converged(object, ...)

## S4 method for signature 'lcModelDtwclust'
postprob(object, ...)

## S4 method for signature 'lcModelDtwclust'
predictForCluster(object, newdata, cluster, what = "mu", ...)

Arguments

object	The object.
...	Not used.
method	An object inheriting from lcMethod with all its arguments having been evaluated and finalized.
data	A data.frame representing the transformed training data.
envir	The environment containing variables generated by prepareData() and preFit().
verbose	A R.utils::Verbose object indicating the level of verbosity.
newdata	A data.frame of trajectory data for which to compute trajectory assignments.
cluster	The cluster name (as character) to predict for.
what	The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying what = 'mb'.

See Also

lcMethodDtwclust dtwclust-package

philips-software/latrend documentation built on July 16, 2025, 5:43 p.m.