AutoScore_fine_tuning   AutoScore STEP(iv): Fine-tune the score by
                        revising cut_vec with domain knowledge
                        (AutoScore Module 5)
AutoScore_parsimony     AutoScore STEP(ii): Select the best model with
                        parsimony plot (AutoScore Modules 2+3+4)
AutoScore_rank          AutoScore STEP(i): Rank variables with machine
                        learning (AutoScore Module 1)
AutoScore_testing       AutoScore STEP(v): Evaluate the final score
                        with ROC analysis (AutoScore Module 6)
AutoScore_weighting     AutoScore STEP(iii): Generate the initial score
                        with the final list of variables (Re-run
                        AutoScore Modules 2+3)
add_baseline            Internal Function: Add baselines after
                        second-step logistic regression (part of
                        AutoScore Module 3)
assign_score            Internal Function: Automatically assign scores
                        to each subjects given new data set and scoring
                        table (Used for intermediate and final
                        evaluation)
change_reference        Internal Function: Change Reference category
                        after first-step logistic regression (part of
                        AutoScore Module 3)
check_data              AutoScore function: Check whether the input
                        dataset fulfill the requirement of the
                        AutoScore
compute_auc_val         Internal function: Compute AUC based on
                        validation set for plotting parsimony
                        (AutoScore Module 4)
compute_descriptive_table
                        AutoScore function: Descriptive Analysis
compute_multi_variable_table
                        AutoScore function: Multivariate Analysis
compute_score_table     Internal function: Compute scoring table based
                        on training dataset (AutoScore Module 3)
compute_uni_variable_table
                        AutoScore function: Univariable Analysis
get_cut_vec             Internal function: Calculate cut_vec from the
                        training set (AutoScore Module 2)
plot_roc_curve          Internal Function: Plotting ROC curve
print_roc_performance   AutoScore function: Print receiver operating
                        characteristic (ROC) performance
print_scoring_table     AutoScore Function: Print scoring tables for
                        visualization
sample_data             20000 simulated ICU admission data, with the
                        same distribution as the data in the MIMIC-III
                        ICU database
sample_data_small       1000 simulated ICU admission data, with the
                        same distribution as the data in the MIMIC-III
                        ICU database
split_data              AutoScore function: Automatically splitting
                        dataset to train, validation and test set
transform_df_fixed      Internal function: Categorizing continuous
                        variables based on cut_vec (AutoScore Module 2)
