fmri_lm_control: Configuration for fmri_lm fitting

In bbuchsbaum/fmrireg: R package for the anlysis of fmri data

Configuration for fmri_lm fitting

Description

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.

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)

Value

An object of class fmri_lm_config.

bbuchsbaum/fmrireg documentation built on June 10, 2025, 8:18 p.m.