R: Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves

# Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves

## Documentation for package ‘nproc’ version 2.1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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