interface-custom: function interface

In latrend: A Framework for Clustering Longitudinal Data

function interface

Description

function interface

Usage

## S4 method for signature 'lcModelPartition'
clusterTrajectories(
  object,
  at = time(object),
  center = object@center,
  approxFun = approx,
  ...
)

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

## S4 method for signature 'lcModelPartition'
getName(object, ...)

## S4 method for signature 'lcModelPartition'
getShortName(object, ...)

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

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

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

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

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

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

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

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

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

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

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

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

## S4 method for signature 'lcModelWeightedPartition'
clusterTrajectories(
  object,
  at = time(object),
  center = weighted.meanNA,
  approxFun = approx,
  ...
)

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

## S4 method for signature 'lcModelWeightedPartition'
getName(object, ...)

## S4 method for signature 'lcModelWeightedPartition'
getShortName(object, ...)

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

Arguments

object	The object.
center	The function to use to compute the cluster trajectory center at the respective moment in time.
...	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().
newdata	Optional data.frame for which to compute the posterior probability. If omitted, the model training data is used.

See Also

lcMethodRandom lcMethodStratify lcModelPartition lcModelWeightedPartition

latrend documentation built on May 29, 2024, 8:51 a.m.