Package: ROCModels
Title: ROC Models and AUC Estimation
Version: 1.0.0
Authors@R: 
    c(
      person("Ruhul Ali", "Khan", role = c("aut")),
      person("Ruhul Ali", "Khan", email = c("ruhulali.khan@gmail.com"), role = c("aut", "cre")),
      person("Raja Sanjeev Kumar", "Nakka", role = "aut"),
      person("Musie", "Ghebremichael", email = c("musie_ghebremichael@dfci.harvard.edu"), role = "aut")
    )
Description: 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.
License: file LICENSE
Encoding: UTF-8
Imports: ggplot2, kedd, dplyr, survival, nleqslv, HDInterval, ROCit,
        doParallel, foreach, pbivnorm, nor1mix, parallel, readr, MASS
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-12-09 18:58:47 UTC; rsn11
Author: Ruhul Ali Khan [aut],
  Ruhul Ali Khan [aut, cre],
  Raja Sanjeev Kumar Nakka [aut],
  Musie Ghebremichael [aut]
Maintainer: Ruhul Ali Khan <ruhulali.khan@gmail.com>
