latrend: lcModel-data-filters – R documentation – Quantargo

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lcModel-data-filters

Data filters for lcModel

Description

The data filters are applied by latrend prior to model estimation. These filters are used in latrendBoot and latrendCV.

Usage

bootSample(data, id, seed = NULL)

trainFold(data, fold, id, folds, seed)

testFold(data, fold, id, folds, seed)

Arguments

`data`	The `data.frame` representing the model dataset.
`id`	The name of the trajectory identifier variable.
`seed`	Optional seed for ensuring reproducibility.
`fold`	The fold to select.
`folds`	Total number of folds to create.

See Also

Other validation methods: createTestDataFolds(), createTestDataFold(), createTrainDataFolds(), latrendBoot(), latrendCV()

Other validation methods: createTestDataFolds(), createTestDataFold(), createTrainDataFolds(), latrendBoot(), latrendCV()

Other validation methods: createTestDataFolds(), createTestDataFold(), createTrainDataFolds(), latrendBoot(), latrendCV()

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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