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Configuration for fmri_lm fitting

Source: R/fmri_lm_config.R
fmri_lm_control.Rd

fmri_lm_control() creates an fmri_lm_config object collecting all options for robust and autoregressive modelling. It validates inputs and applies defaults so downstream functions receive a single structured list.

Usage

fmri_lm_control(robust_options = list(), ar_options = list())

Arguments

robust_options

list of robust fitting options. See Details.

ar_options

list of autoregressive modelling options. See Details.

Value

An object of class fmri_lm_config.

Details

robust_options may contain:

  • type (FALSE, "huber", "bisquare")

  • k_huber

  • c_tukey

  • max_iter

  • scale_scope ("run", "global")

  • reestimate_phi (logical)

ar_options may contain:

  • struct ("iid", "ar1", "ar2", "arp")

  • p (order for "arp")

  • iter_gls (integer number of GLS iterations)

  • global (logical, use global phi)

  • voxelwise (logical)

  • exact_first (logical)