ROCsurf: ROC Surface Analysis Under the Three-Class Problems

Receiver Operating Characteristic (ROC) analysis is performed assuming samples are from the proposed distributions. In addition, the volume under the ROC surface and true positive fractions values are evaluated by ROC surface analysis.

Version: 0.1.1
Imports: plotly, pracma, stats
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-07-24
DOI: 10.32614/CRAN.package.ROCsurf
Author: Ertan Akgenç [cre, aut, cph] (https://www.researchgate.net/profile/Ertan-Akgenc), Coşkun Kuş [aut, ctb] (https://www.selcuk.edu.tr/Person/Detail/coskun)
Maintainer: Ertan Akgenç <statistician.ertan at gmail.com>
BugReports: https://github.com/ErtanSU/ROCsurf/issues
License: GPL-3
URL: https://github.com/ErtanSU/ROCsurf, https://ertansu.github.io/ROCsurf/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: ROCsurf results

Documentation:

Reference manual: ROCsurf.pdf

Downloads:

Package source: ROCsurf_0.1.1.tar.gz
Windows binaries: r-devel: ROCsurf_0.1.1.zip, r-release: ROCsurf_0.1.1.zip, r-oldrel: ROCsurf_0.1.1.zip
macOS binaries: r-release (arm64): ROCsurf_0.1.1.tgz, r-oldrel (arm64): ROCsurf_0.1.1.tgz, r-release (x86_64): ROCsurf_0.1.1.tgz, r-oldrel (x86_64): ROCsurf_0.1.1.tgz
Old sources: ROCsurf archive

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