Package: trinROC Title: Statistical Tests for Assessing Trinormal ROC Data Version: 0.7 Date: 2024-10-02 Authors@R: c(person("Samuel", "Noll", email = "uncle.sam@gmx.net", role = "aut"), person("Reinhard", "Furrer", role = c("aut", "cre"), email = "reinhard.furrer@uzh.ch", comment = c(ORCID = "0000-0002-6319-2332")), person("Benjamin", "Reiser", role = "ctb"), person("Christos T.", "Nakas", role = "ctb", email = "cnakas@uth.gr"), person("Annina", "Cincera",role="aut", email="annina.cincera@sunrise.ch")) Description: Several statistical test functions as well as a function for exploratory data analysis to investigate classifiers allocating individuals to one of three disjoint and ordered classes. In a single classifier assessment the discriminatory power is compared to classification by chance. In a comparison of two classifiers the null hypothesis corresponds to equal discriminatory power of the two classifiers. See also "ROC Analysis for Classification and Prediction in Practice" by Nakas, Bantis and Gatsonis (2023), ISBN 9781482233704. Depends: R (>= 3.3.0) Imports: ggplot2, rgl, gridExtra License: LGPL-2.1 Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.3 Suggests: testthat, knitr, rmarkdown, MASS, reshape VignetteBuilder: knitr URL: https://www.math.uzh.ch/pages/trinROC/ BugReports: https://git.math.uzh.ch/reinhard.furrer/trinROC/-/issues NeedsCompilation: no Packaged: 2026-07-02 09:00:15 UTC; root Author: Samuel Noll [aut], Reinhard Furrer [aut, cre] (), Benjamin Reiser [ctb], Christos T. Nakas [ctb], Annina Cincera [aut] Maintainer: Reinhard Furrer Repository: https://cran.r-universe.dev Date/Publication: 2024-10-05 03:01:46 UTC RemoteUrl: https://github.com/cran/trinROC RemoteRef: HEAD RemoteSha: da71b338792fd19b7f761c549c44a94c651ab92b