lcModel-data-filters: Data filters for lcModel

In latrend: A Framework for Clustering Longitudinal Data

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 identifier variable name, see idVariable.
seed	Optional seed for ensuring reproducibility.
fold	The fold to select.
folds	Total number of folds to create.

Value

A subset of data of type data.frame.

See Also

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

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

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

latrend documentation built on May 29, 2024, 8:51 a.m.