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 |