pooling rho-a
@@ -82,6 +82,9 @@ def pool_rdm(rdms, method='cosine', sigma_k=None):
elif method == 'spearman':
rdm_vec = np.array([_nan_rank_data(v) for v in rdm_vec])
rdm_vec = _nan_mean(rdm_vec)
+ elif method == 'rho-a':
+ rdm_vec = np.array([_nan_rank_data(v) for v in rdm_vec])
+ rdm_vec = _nan_mean(rdm_vec)
elif method == 'kendall' or method == 'tau-b':
Warning('Noise ceiling for tau based on averaged ranks!')
rdm_vec = np.array([_nan_rank_data(v) for v in rdm_vec])
