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latrend (version 1.6.1)

interface-mclust: mclust interface

Description

mclust interface

Usage

# S4 method for lcMethodMclustLLPA
getArgumentDefaults(object)

# S4 method for lcMethodMclustLLPA getArgumentExclusions(object)

# S4 method for lcMethodMclustLLPA getCitation(object, ...)

# S4 method for lcMethodMclustLLPA getName(object)

# S4 method for lcMethodMclustLLPA getShortName(object)

# S4 method for lcMethodMclustLLPA prepareData(method, data, verbose, ...)

# S4 method for lcMethodMclustLLPA compose(method, envir = NULL)

# S4 method for lcMethodMclustLLPA fit(method, data, envir, verbose, ...)

# S4 method for lcModelMclustLLPA clusterTrajectories(object, at = time(object), ...)

# S4 method for lcModelMclustLLPA postprob(object, ...)

# S4 method for lcModelMclustLLPA predictPostprob(object, newdata = NULL, ...)

# S4 method for lcModelMclustLLPA converged(object, ...)

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.

verbose

A R.utils::Verbose object indicating the level of verbosity.

envir

The environment containing variables generated by prepareData() and preFit().

at

A numeric vector of the times at which to compute the cluster trajectories.

newdata

A data.frame of trajectory data for which to compute trajectory assignments.

See Also

lcMethodMclustLLPA mclust-package