| compare | Compare two NP classification methods at different type I error upper bounds. | 
| lines.nproc | Add NP-ROC curves to the current plot object. | 
| npc | Construct a Neyman-Pearson Classifier from a sample of class 0 and class 1. | 
| nproc | Calculate the Neyman-Pearson Receiver Operating Characteristics | 
| plot.nproc | Plot the nproc band(s). | 
| predict.npc | Predicting the outcome of a set of new observations using the fitted npc object. | 
| print.npc | Print the npc object. | 
| print.nproc | Print the nproc object. | 
| rocCV | Calculate the Receiver Operating Characteristics with Cross-validation or Subsampling |