interface-kmlR Documentation

kml interface

Description

kml interface

Usage

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

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

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

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

## S4 method for signature 'lcMethodKML'
preFit(method, data, envir, verbose, ...)

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

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

## S4 method for signature 'lcModelKML'
converged(object)

## S3 method for class 'lcModelKML'
logLik(object, ...)

## S4 method for signature 'lcModelKML'
postprob(object)

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

Arguments

object

The 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.

envir

The environment containing additional data variables returned by prepareData().

verbose

A R.utils::Verbose object indicating the level of verbosity.

...

Additional arguments.

at

An optional vector of the times at which to compute the cluster trajectory predictions.

newdata

Optional data frame for which to compute the posterior probability. If omitted, the model training data is used.

See Also

lcMethodKML kml