| colwise_pool | Column-wise pooling of standard deviations |
| cvv | Coefficient of variance variation |
| d_pooled_sd | Standardized mean difference with pooled standard deviation |
| D_regularized | Multivariate group difference estimation with regularized binomial regression |
| D_regularized_fold | Use manually defined data folds for regularization and obtain estimates for each separately. |
| D_regularized_fold_out | Use separate data partitions for regularization and estimation across defined data folds. |
| D_regularized_out | Use separate data partition for regularization and estimation. |
| D_regularized_vanilla | Use same data partition for regularization and estimation. |
| ml_dadas | Predicting algebraic difference scores in multilevel model |
| pcc | Returns probabilities of correct classification for both groups in independent data partition. |
| sem_dadas | Predicting algebraic difference scores in structural equation model |
| vpc_at | Variance partition coefficient calculated at different level-1 values |