latrend (version 1.6.1)

clusterTrajectories,lcModelPartition-method: function interface

Description

function interface

Usage

# S4 method for lcModelPartition
clusterTrajectories(
  object,
  at = time(object),
  center = object@center,
  approxFun = approx,
  ...
)
# S4 method for lcModelPartition
converged(object, ...)
# S4 method for lcModelPartition
getName(object, ...)
# S4 method for lcModelPartition
getShortName(object, ...)
# S4 method for lcModelPartition
postprob(object, ...)
# S4 method for lcMethodFunction
getArgumentDefaults(object)
# S4 method for lcMethodFunction
getName(object)
# S4 method for lcMethodFunction
getShortName(object)
# S4 method for lcMethodFunction
prepareData(method, data, verbose)
# S4 method for lcMethodFunction
fit(method, data, envir, verbose)
# S4 method for lcMethodRandom
getArgumentDefaults(object)
# S4 method for lcMethodRandom
getName(object)
# S4 method for lcMethodRandom
getShortName(object)
# S4 method for lcMethodRandom
fit(method, data, envir, verbose, ...)
# S4 method for lcModelStratify
converged(object, ...)
# S4 method for lcModelStratify
predictPostprob(object, newdata = NULL, ...)
# S4 method for lcModelWeightedPartition
clusterTrajectories(
  object,
  at = time(object),
  center = weighted.meanNA,
  approxFun = approx,
  ...
)
# S4 method for lcModelWeightedPartition
converged(object, ...)
# S4 method for lcModelWeightedPartition
getName(object, ...)
# S4 method for lcModelWeightedPartition
getShortName(object, ...)
# S4 method for 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