auc_score               Area Under the Receiver Operating
                        Characteristic
collinear               Automated multicollinearity management
cor_df                  Correlation data frame of numeric and character
                        variables
cor_matrix              Correlation matrix of numeric and character
                        variables
cor_select              Automated multicollinearity reduction via
                        pairwise correlation
cramer_v                Bias Corrected Cramer's V
f_gam_auc_balanced      AUC of Logistic GAM Model
f_gam_auc_unbalanced    AUC of Logistic GAM Model with Weighted Cases
f_gam_deviance          Explained Deviance from univariate GAM model
f_logistic_auc_balanced
                        AUC of Binomial GLM with Logit Link
f_logistic_auc_unbalanced
                        AUC of Binomial GLM with Logit Link and Case
                        Weights
f_rf_auc_balanced       AUC of Random Forest model of a balanced binary
                        response
f_rf_auc_unbalanced     AUC of Random Forest model of an unbalanced
                        binary response
f_rf_rsquared           R-squared of Random Forest model
f_rsquared              R-squared between a response and a predictor
identify_non_numeric_predictors
                        Identify non-numeric predictors
identify_numeric_predictors
                        Identify numeric predictors
identify_zero_variance_predictors
                        Identify zero and near-zero-variance predictors
preference_order        Compute the preference order for predictors
                        based on a user-defined function.
target_encoding_lab     Target encoding of non-numeric variables
target_encoding_mean    Target-encoding methods
toy                     One response and four predictors with varying
                        levels of multicollinearity
validate_df             Validate input data frame
validate_predictors     Validate the 'predictors' argument for analysis
validate_response       Validate the 'response' argument for target
                        encoding of non-numeric variables
vi                      30.000 records of responses and predictors all
                        over the world
vi_predictors           Predictor names in data frame 'vi'
vif_df                  Variance Inflation Factor
vif_select              Automated multicollinearity reduction via
                        Variance Inflation Factor
