A "base" function that does the standard regional analysis pipeline

Usage

run_regional_base(
  model_spec,
  region_mask,
  coalesce_design_vars = FALSE,
  processor = NULL,
  verbose = FALSE,
  compute_performance = model_spec$compute_performance,
  return_predictions = model_spec$return_predictions,
  return_fits = model_spec$return_fits,
  ...
)

Arguments

model_spec: A model specification object.
region_mask: A mask representing different brain regions in either a NeuroVol or NeuroSurface.
coalesce_design_vars: If TRUE, merges design variables into the prediction table (if present).
processor: An optional processor function for each region (ROI).
verbose: If TRUE, prints progress messages.
compute_performance: Logical indicating whether to compute performance metrics (defaults to model_spec$compute_performance).
return_predictions: Logical indicating whether to combine a full prediction table (defaults to model_spec$return_predictions).
return_fits: Logical indicating whether to return the fitted models (defaults to model_spec$return_fits).
...: Additional arguments passed along to mvpa_iterate or other methods.

Value

A regional_mvpa_result object containing:

performance_table: A tibble of performance metrics per region
prediction_table: A tibble (if return_predictions = TRUE)
vol_results: A list of volumetric maps (if compute_performance = TRUE)
fits: A list of model fits if return_fits = TRUE
model_spec: The original model specification