R: function interface

clusterTrajectories,lcModelPartition-method

R Documentation

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 `lcMethod` or `lcModel` object.
`center`	The function to use to compute the cluster trajectory center at the respective moment in time.
`...`	Additional arguments.
`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.

function interface

Description

Usage

Arguments

See Also