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latrendRep

Cluster longitudinal data repeatedly

Description

Performs a repeated fit of the specified latrend model on the given data.

Usage

latrendRep(
  method,
  data,
  .rep = 10,
  ...,
  .errorHandling = "stop",
  .seed = NULL,
  .parallel = FALSE,
  envir = NULL,
  verbose = getOption("latrend.verbose")
)

Arguments

method

The lcMethod object specifying the longitudinal cluster method to apply.
data

The data.frame or matrix to which to apply the method.
.rep

The number of repeated fits.
...

Any other arguments to update the lcMethod definition with.
.errorHandling

Whether to "stop" on an error, or to "remove' evaluations that raised an error.
.seed

Set the seed for generating the respective seed for each of the repeated fits.
.parallel

Whether to use parallel evaluation. See latrend-parallel.
envir

The environment in which to evaluate the method arguments. Note that this only applies to data when data is a call.
verbose

The level of verbosity. Either an object of class Verbose (see R.utils::Verbose for details), a logical indicating whether to show basic computation information, a numeric indicating the verbosity level (see Verbose), or one of c('info', 'fine', 'finest').

Details

This method is faster than repeatedly calling latrend as it only prepares the data via prepareData() once.

Value

A lcModels object containing the resulting models.

See Also

Other longitudinal cluster fit functions: latrendBatch(), latrendBoot(), latrendCV(), latrend()

Examples

data(latrendData)
method <- lcMethodKML("Y", id = "Id", time = "Time")
models <- latrendRep(method, data = latrendData, .rep = 5) # 5 repeated runs

models <- latrendRep(method, data = latrendData, .seed = 1, .rep = 3)
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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