fmri_lm: Fit a linear regression model for fMRI data analysis

In bbuchsbaum/fmrireg: R package for the anlysis of fmri data

Fit a linear regression model for fMRI data analysis

Description

This function fits a linear regression model for fMRI data analysis using the specified model formula, block structure, and dataset. The model can be fit using either a runwise or chunkwise data splitting strategy, and robust fitting can be enabled if desired.

Usage

fmri_lm(
  formula,
  block,
  baseline_model = NULL,
  dataset,
  durations,
  drop_empty = TRUE,
  robust = FALSE,
  strategy = c("runwise", "chunkwise"),
  nchunks = 10,
  ...
)

Arguments

formula	The model formula for experimental events.
block	The model formula for block structure.
baseline_model	(Optional) The baseline_model object. Default is NULL.
dataset	An object derived from fmri_dataset containing the time-series data.
durations	A vector of event durations.
drop_empty	Whether to remove factor levels with a size of zero. Default is TRUE.
robust	Whether to use robust fitting. Default is FALSE.
strategy	The data splitting strategy, either "runwise" or "chunkwise". Default is "runwise".
nchunks	Number of data chunks when strategy is chunkwise. Default is 10.
...	Extra arguments.

Value

A fitted linear regression model for fMRI data analysis.

See Also

fmri_dataset, fmri_lm_fit

Examples

# Example usage of fmri_lm function
# ...

bbuchsbaum/fmrireg documentation built on May 16, 2023, 10:56 a.m.