Create an MVPA Dataset for Clustered/Parcellated Data — mvpa_clustered

Creates a dataset object for MVPA analysis on parcellated brain data stored as ClusteredNeuroVec objects from neuroim2. A "clustered searchlight" iterates over all K parcels, pooling nearby parcels as features for each analysis.

Usage

mvpa_clustered_dataset(train_data, test_data = NULL, mask = NULL)

Arguments

train_data: A ClusteredNeuroVec instance (training data).
test_data: An optional ClusteredNeuroVec instance (test data). Default: NULL.
mask: An optional mask. If NULL, derived from train_data's cluster volume.

Value

An mvpa_clustered_dataset object (S3 class) containing:

train_data: The training data as a ClusteredNeuroVec.
test_data: The test data (if provided).
mask: The mask.
cvol: The ClusteredNeuroVol defining cluster assignments.
region_mask: A NeuroVol where each voxel's value is its cluster ID (for broadcasting results via map_values).
has_test_set: Logical flag.

Examples

if (FALSE) { # \dontrun{
  ds <- gen_clustered_sample_dataset(K=5, nobs=20)
  print(ds$dataset)
} # }