| calc_mROC_stats | Calculates the absolute surface between the empirical and expected ROCs |
| calc_NB_moments | Calculates the first two moments of the bivariate distribution of NB_model and NB_all |
| 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 |