Iterate MVPA Analysis Over Multiple ROIs
mvpa_iterate.RdPerforms multivariate pattern analysis (MVPA) across multiple regions of interest (ROIs) using batch processing and parallel computation.
Usage
mvpa_iterate(
mod_spec,
vox_list,
ids = 1:length(vox_list),
batch_size = as.integer(0.1 * length(ids)),
verbose = TRUE,
processor = NULL
)Arguments
- mod_spec
An MVPA model specification object containing the dataset to analyze, compute_performance (logical indicating whether to compute performance metrics), and return_predictions (logical indicating whether to return predictions).
- vox_list
A list of voxel indices or coordinates defining each ROI to analyze.
- ids
Vector of identifiers for each ROI analysis. Defaults to 1:length(vox_list).
- batch_size
Integer specifying number of ROIs to process per batch. Defaults to 10% of total ROIs.
- verbose
Logical indicating whether to print progress messages. Defaults to TRUE.
- processor
Optional custom processing function. If NULL, uses default processor. Must accept parameters (obj, roi, rnum) and return a tibble.
Value
A tibble containing results for each ROI with columns:
- result
List column of analysis results (NULL if return_predictions=FALSE).
- indices
List column of ROI indices used.
- performance
List column of performance metrics (if computed).
- id
ROI identifier.
- error
Logical indicating if an error occurred.
- error_message
Error message if applicable.
- warning
Logical indicating if a warning occurred.
- warning_message
Warning message if applicable.