F_to_eta2               Convert test statistics (F, t) to indices of
                        *partial* variance explained (*partial* Eta /
                        Omega / Epsilon squared and Cohen's f)
adjust                  Adjust data for the effect of other variable(s)
change_scale            Rescale a numeric variable
chisq_to_phi            Conversion between Effect sizes for Contingency
                        Tables (Chi2, Phi, Cramer's V...)
cohens_d                Effect size for differences
convert_z_to_percentile
                        Z score to Percentile
effectsize              Effect Size
equivalence_test.effectsize_table
                        Test for Practical Equivalence
eta_squared             Effect size for ANOVA
eta_squared_posterior   Simulate Eta Squared from Posterior Predictive
                        Distribution
format_standardize      Transform a standardized vector into character
interpret               Generic function for interpretation
interpret_bf            Bayes Factor (BF) Interpretation
interpret_d             Standardized difference interpretation
interpret_direction     Direction interpretation
interpret_ess           Bayesian indices interpretation
interpret_gfi           Interpretation of indices of fit
interpret_odds          (Log) Odds ratio interpretation
interpret_omega_squared
                        ANOVA effect size interpretation
interpret_p             p-values interpretation
interpret_parameters    Automated Interpretation of Effect Sizes
interpret_r             Correlation interpretation
interpret_r2            Coefficient of determination (R2)
                        interpretation
is_effectsize_name      Checks if character is of a supported effect
                        size
normalize               Normalization
percentage_to_d         General effect size conversion
phi                     Effect size for contingency tables
ranktransform           (Signed) rank transformation
rules                   Interpretation Grid
sd_pooled               Pooled Standard Deviation
standardize             Standardization (Z-scoring)
standardize_info        Get Standardization Information
standardize_parameters
                        Parameters standardization
t_to_d                  Convert test statistics (t, z, F) to effect
                        sizes of differences (Cohen's d) or association
                        (*partial* r)
