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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "ROCModels" in publications use:'
type: software
license: MIT
title: 'ROCModels: ROC Models and AUC Estimation'
version: 1.0.0
doi: 10.32614/CRAN.package.ROCModels
abstract: The receiver operating characteristic (ROC) curve is one of the most widely
  used tools for evaluating diagnostic and prognostic biomarkers across diverse scientific
  fields, particularly in medicine. Despite its ubiquity, ROC estimation and testing
  methods differ substantially in their assumptions and resulting curve properties.
  This package provides a unified framework for constructing, visualizing, and comparing
  parametric, nonparametric, semiparametric, and Bayesian ROC curves. 'ROCModels'
  helps researchers identify and implement ROC inference methods most suitable for
  their data. See the accompanying vignette 'ROCModels_Package_Doc' for a detailed
  introduction. Alonzo, T. A., and Pepe, M. S. (2002) <https://doi.org/ 10.1093/biostatistics/3.3.421>,
  Andrews, D. F., and Herzberg, A. M. (1985) <https://doi.org/ 10.1007/978-1-4612-5098-2>,
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  Gönen, M., and Heller, G. (2010) <https://doi.org/ 10.1177/0272989X09360067>, Gopalakrishnan,
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  Y., Ghosal, S., and Roy, A. (2008) <https://doi.org/ 10.1002/sim.3366>, Guidoum,
  A. C. (2020) <https://doi.org/ 10.32614/CRAN.package.kedd>, <https://doi.org/ 10.48550/arXiv.2012.06102>,
  Guo, B. (2015) <https://d-scholarship.pitt.edu/23590/1/Guo_Ben_thesis_12-2014.pdf>,
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authors:
- family-names: Khan
  given-names: Ruhul Ali
- family-names: Khan
  given-names: Ruhul Ali
  email: ruhulali.khan@gmail.com
- family-names: Nakka
  given-names: Raja Sanjeev Kumar
- family-names: Ghebremichael
  given-names: Musie
  email: musie_ghebremichael@dfci.harvard.edu
repository: https://khanruhul.r-universe.dev
commit: d2834a3ef82efd5d905f601e0458cf31dbc186dc
date-released: '2026-03-16'
contact:
- family-names: Khan
  given-names: Ruhul Ali
  email: ruhulali.khan@gmail.com