tedana.metrics.dependence.generate_decision_table_score

generate_decision_table_score(kappa, dice_ft2, signal_minus_noise_t, countnoise, countsig_ft2)[source]

Generate a five-metric decision table.

Metrics are ranked in either descending or ascending order if they measure TE-dependence or -independence, respectively, and are then averaged for each component.

Parameters:
  • kappa ((C) array_like) – Pseudo-F-statistics for TE-dependence model.

  • dice_ft2 ((C) array_like) – Dice similarity index for cluster-extent thresholded beta maps and cluster-extent thresholded TE-dependence F-statistic maps.

  • signal_minus_noise_t ((C) array_like) – Signal-noise t-statistic metrics.

  • countnoise ((C) array_like) – Numbers of significant non-cluster voxels from the thresholded beta maps.

  • countsig_ft2 ((C) array_like) – Numbers of significant voxels from clusters from the thresholded TE-dependence F-statistic maps.

Returns:

d_table_score ((C) array_like) – Decision table metric scores.