interface-mclustR Documentation

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