R: Prediction Model Tools

# Prediction Model Tools

## Documentation for package ‘predtools’ version 0.0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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