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

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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