fmri_lm | R Documentation |
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.
fmri_lm(
formula,
block,
baseline_model = NULL,
dataset,
durations,
drop_empty = TRUE,
robust = FALSE,
strategy = c("runwise", "chunkwise"),
nchunks = 10,
...
)
formula |
The model formula for experimental events. |
block |
The model formula for block structure. |
baseline_model |
(Optional) The |
dataset |
An object derived from |
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 |
... |
Extra arguments. |
A fitted linear regression model for fMRI data analysis.
fmri_dataset, fmri_lm_fit
# Example usage of fmri_lm function
# ...
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