calc_NB_moments         Calculates the first two moments of the
                        bivariate distribution of NB_model and NB_all
calc_mROC_stats         Calculates the absolute surface between the
                        empirical and expected ROCs
calibration_plot        Title Create calibration plot based on observed
                        and predicted outcomes.
dev_data                model development data
evpi_val                EVPI (Expected Value of Perfect Information)
                        for validation Takes a vector of mean and a 2X2
                        covariance matrix
gusto                   Anonymized data from the gusto trial
mAUC                    Takes in a mROC object and calculates the area
                        under the curve
mROC                    Calculates mROC from the vector of predicted
                        risks Takes in a vector of probabilities and
                        returns mROC values (True positives, False
                        Positives in an object of class mROC)
mROC_analysis           Main eROC analysis that plots ROC and eROC
mROC_inference          Statistical inference for comparing empirical
                        and expected ROCs. If CI=TRUE then also returns
                        pointwise CIs
mu_max_trunc_bvn        Calculates the expected value of the maximum of
                        two random variables with zero-truncated
                        bivariate normal distribution Takes a vector of
                        mean and a 2X2 covariance matrix
odds_adjust             Title Update a prediction model for a binary
                        outcome by multiplying a fixed odd-ratio to the
                        predicted odds.
pred_summary_stat       Title Estimate mean and variance of prediction
                        based on model calibration output.
val_data                model validation data
