generateMixedEffectDatasets: Generate Mixed Effects Datasets

In kollerma/robustlmm: Robust Linear Mixed Effects Models

Generate Mixed Effects Datasets

Description

Generates mixed effects datasets using parametric bootstrap.

Usage

generateMixedEffectDatasets(
  numberOfDatasetsToGenerate,
  preparedDataset,
  errorGenerator = rnorm,
  randomEffectGenerator = rnorm
)

Arguments

numberOfDatasetsToGenerate	number of datasets to generate.
preparedDataset	dataset as prepared by prepareMixedEffectDataset.
errorGenerator	random number generator used for the errors.
randomEffectGenerator	random number generator used for the spherical random effects.

Value

list with generators and the contents of the prepared dataset. See prepareMixedEffectDataset and generateAnovaDatasets for a description of the contents.

Author(s)

Manuel Koller

See Also

generateAnovaDatasets, prepareMixedEffectDataset and createDatasetsFromList

Examples

  preparedDataset <- prepareMixedEffectDataset(Reaction ~ Days + (Days|Subject), sleepstudy)
  datasets <- generateMixedEffectDatasets(2, preparedDataset)
  head(datasets$generateData(1))
  head(datasets$generateData(2))
  datasets$formula
  head(datasets$randomEffects(1))
  head(datasets$sphericalRandomEffects(1))
  head(datasets$errors(1))

kollerma/robustlmm documentation built on June 14, 2025, 11:05 a.m.