run_glm_pipeline: primary function for running a GLM analysis pipeline

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

primary function for running a GLM analysis pipeline

Description

primary function for running a GLM analysis pipeline

Usage

run_glm_pipeline(
  gpa,
  l1_model_names = "prompt",
  l2_model_names = "prompt",
  l3_model_names = "prompt",
  glm_software = NULL
)

Arguments

gpa	a glm_pipeline_arguments object containing a model specification (created by setup_glm_pipeline)
l1_model_names	a character vector of level 1 model names (specified during build_l1_models) that should be executed
l2_model_names	a character vector of level 2 model names (specified during build_l2_models) that should be executed
l3_model_names	a character vector of level 3 model names (specified during build_l3_models) that should be executed
glm_software	which glm software should be used for model estimation (not implemented yet)

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