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interface-kml

kml interface

Description

kml interface

Usage

## 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 object to extract the label from.
method

The lcMethod object.
data

The data, as a data.frame, on which the model will be trained.
envir

The environment in which the lcMethod should be evaluated
verbose

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

Additional arguments.
at

An optional vector, list or data frame of covariates at which to compute the cluster trajectory predictions. If a vector is specified, this is assumed to be the time covariate. Otherwise, a named list or data frame must be provided.
newdata

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

See Also

latrend

A Framework for Clustering Longitudinal Data

v1.1.2
GPL (>= 2)
Authors
Niek Den Teuling [aut, cre] (<https://orcid.org/0000-0003-1026-5080>), Steffen Pauws [ctb], Edwin van den Heuvel [ctb], Copyright © 2021 Koninklijke Philips N.V. [cph]
Initial release
2021-04-14

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