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Wrapper function for ICA randomisation

params_ica_randomisation.Rd

Wrapper function for ICA randomisation

Usage

params_ica_randomisation(
  cross_validate = FALSE,
  random_init = 50L,
  folds = 10L
)

Arguments

cross_validate

Boolean. Do you want to apply a cross-validation type approach and split the data into folds folds to assess within data stability of the component. Defaults to FALSE.

random_init

Integer. Number of random initialisations to use. Defaults to 50L.

folds

Integer. Number of folds to use if cross_validate is set to TRUE. To note, you will be running random_init * folds ICA runs. Defaults to 10L.

Value

A named list with the following elements:

  • cross_validate - Boolean. Do you want to apply a cross-validation type approach and split the data into folds folds to assess within data stability of the component. Defaults to FALSE.

  • random_init - Integer. Number of random initialisations to use. Defaults to 50L.

  • folds - Integer. Number of folds to use if cross_validate is set to TRUE. To note, you will be running random_init * folds ICA runs. Defaults to 10L.