Perform Chunkwise Linear Modeling on fMRI Dataset — chunkwise_lm.fmri

This function performs a chunkwise linear model analysis on an fMRI dataset, splitting the dataset into chunks and running the linear model on each chunk.

Usage

# S3 method for class 'fmri_frame'
chunkwise_lm(
  x,
  model,
  contrast_objects,
  nchunks,
  cfg,
  verbose = FALSE,
  use_fast_path = TRUE,
  progress = FALSE,
  parallel_chunks = FALSE,
  phi_fixed = NULL,
  sigma_fixed = NULL,
  ...
)

Arguments

x: An fmri_frame object.
model: The fmri_model used for the analysis.
contrast_objects: The list of full contrast objects.
nchunks: The number of chunks to divide the dataset into.
cfg: An fmri_lm_control object containing all fitting options.
verbose: Logical. Whether to display progress messages (default is FALSE).
use_fast_path: Logical. If TRUE, use matrix-based computation for speed. Default is TRUE.
progress: Logical. Display a progress bar for chunk processing. Default is FALSE.
parallel_chunks: Logical. If TRUE, process chunks with future.apply::future_lapply() using the active future plan.
phi_fixed: Optional fixed AR parameters.
sigma_fixed: Optional fixed robust scale estimate.

Value

A list containing the unpacked chunkwise results.