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.
colwise_pool            Column-wise pooling of standard deviations
cvv                     Coefficient of variance variation
cvv_manual              Coefficient of variance variation from manual
                        input sample sizes and variance estimates
d_pooled_sd             Standardized mean difference with pooled
                        standard deviation
ml_dadas                Predicting algebraic difference scores in
                        multilevel model
pcc                     Returns probabilities of correct classification
                        for both groups in independent data partition.
qcc                     Quantile correlation coefficient
reliability_dms         Reliability calculation for difference score
                        variable that is a difference between two mean
                        variables calculated over upper-level units
                        (e.g., sex differences across countries)
sem_dadas               Predicting algebraic difference scores in
                        structural equation model
vpc_at                  Variance partition coefficient calculated at
                        different level-1 values
