Package: rocbc
Type: Package
Title: Statistical Inference for Box-Cox Based Receiver Operating
        Characteristic Curves
Version: 3.2.0
Authors@R: c(person("Leonidas", "Bantis", role = c("aut"),
             email = "lbantis@kumc.edu"),
             person("Benjamin", "Brewer", role = c("cre", "ctb"),
             email = "tennisbenj@gmail.com"),
             person("Christos", "Nakas", role = c("ctb"),
             email = "cnakas@uth.gr"),
             person("Benjamin", "Reiser", role = c("ctb"),
             email = "reiser@stat.haifa.ac.il"))
Maintainer: Benjamin Brewer <tennisbenj@gmail.com>
Description: Generation of Box-Cox based ROC curves and several aspects of inferences and hypothesis testing. Can be used when inferences for one biomarker (Bantis LE, Nakas CT, Reiser B. (2018)<doi:10.1002/bimj.201700107>) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021)<doi:10.1002/bimj.202000128>) are of interest. Provides inferences and comparisons around the AUC, the Youden index, the sensitivity at a given specificity level (and vice versa), the optimal operating point of the ROC curve (in the Youden sense), and the Youden based cutoff.
License: GPL-3
Encoding: UTF-8
Imports: pracma, clinfun, splancs, mvtnorm, formattable, MRMCaov, pROC
Suggests: knitr, markdown, matlab
VignetteBuilder: knitr
Author: Leonidas Bantis [aut],
  Benjamin Brewer [cre, ctb],
  Christos Nakas [ctb],
  Benjamin Reiser [ctb]
NeedsCompilation: no
Packaged: 2026-01-15 20:23:06 UTC; benbrewer
Repository: CRAN
Date/Publication: 2026-01-16 01:00:02 UTC
Built: R 4.6.0; ; 2026-02-26 04:55:53 UTC; windows
