interface-mclust: mclust interface

In latrend: A Framework for Clustering Longitudinal Data

mclust interface

Description

mclust interface

Usage

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

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

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

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

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

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

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

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

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

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

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

Arguments

object	The lcMethod or lcModel object.
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.
...	Additional arguments.
envir	The environment containing variables generated by prepareData() and preFit().
at	An optional vector of the times at which to compute the cluster trajectory predictions.
newdata	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.

See Also

lcMethodMclustLLPA mclust-package

latrend documentation built on March 31, 2023, 5:45 p.m.