chunkwise_lm.fmri_dataset_old: Perform Chunkwise Linear Modeling on fMRI Dataset
In bbuchsbaum/fmrireg: R package for the anlysis of fmri data

chunkwise_lm.fmri_dataset_old

R Documentation

Perform Chunkwise Linear Modeling on fMRI Dataset

Description

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_dataset_old'
chunkwise_lm(
  dset,
  model,
  contrast_objects,
  nchunks,
  cfg,
  verbose = FALSE,
  use_fast_path = FALSE,
  progress = FALSE,
  phi_fixed = NULL,
  sigma_fixed = NULL,
  extra_nuisance = NULL,
  keep_extra_nuisance_in_model = FALSE
)

Arguments

`dset`	An `fmri_dataset` 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_config` 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 `FALSE`.
`progress`	Logical. Display a progress bar for chunk processing. Default is `FALSE`.
`phi_fixed`	Optional fixed AR parameters.
`sigma_fixed`	Optional fixed robust scale estimate.
`extra_nuisance`	Optional additional nuisance regressors.
`keep_extra_nuisance_in_model`	Logical. Whether to keep extra nuisance in model.