setup_l1_models: Function for setting up level 1 model specifications and...

In UNCDEPENdLab/fmri.pipeline: Analysis of fMRI Data on HPC clusters

Function for setting up level 1 model specifications and corresponding files

Description

Function for setting up level 1 model specifications and corresponding files

Usage

setup_l1_models(gpa, l1_model_names = NULL)

Arguments

gpa	A glm_model_arguments function setup by the setup_glm_pipeline function
l1_model_names	A character vector of model names within gpa$l1_models whose l1 inputs should be generated. If omitted, all models within gpa$l1_models will be generated.

Details

The l1_model_names argument allows the creation of multiple l1 models to be parallelized at a superordinate level or, even better, to be spread across independent jobs on a cluster. This function already provides the option to parallelize over subjects for a single model if gpa$l1_setup_cpus is greater than 1.

Author(s)

Michael Hallquist

UNCDEPENdLab/fmri.pipeline documentation built on April 3, 2025, 3:21 p.m.