Hello all, I am using MCNullDist with enable_ca=['dist_samples'] for significance testing. I am wondering, for subjects with differing number of trials per run (but balanced targets within each run) is the .null_dist.ca.dist_samples returning the correct average accuracy (that is, number_correct / total_number_of_trials, akin to .ca.stats.percent_correct) or is it simply averaging over each cross-validation assuming equal number of trials per run (akin to np.mean(cv_results))? I am assuming it is the former but would appreciate your confirmation.
Thank you, Derek Huffman
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