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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.
Version: | 0.6 |
Depends: | R (≥ 3.3.0) |
Imports: | ggplot2, rgl, gridExtra |
Suggests: | testthat, knitr, rmarkdown, MASS, reshape |
Published: | 2022-10-27 |
DOI: | 10.32614/CRAN.package.trinROC |
Author: | Samuel Noll [aut], Reinhard Furrer [aut], Benjamin Reiser [ctb], Christos T. Nakas [ctb], Annina Cincera [cre, aut] |
Maintainer: | Annina Cincera <annina.cincera at math.uzh.ch> |
BugReports: | https://git.math.uzh.ch/reinhard.furrer/trinROC/-/issues |
License: | LGPL-2.1 |
URL: | https://math.uzh.ch/pages/trinROC/ |
NeedsCompilation: | no |
Citation: | trinROC citation info |
Materials: | README NEWS |
CRAN checks: | trinROC results |
Reference manual: | trinROC.pdf |
Vignettes: |
trinROC_vignette |
Package source: | trinROC_0.6.tar.gz |
Windows binaries: | r-devel: trinROC_0.6.zip, r-release: trinROC_0.6.zip, r-oldrel: trinROC_0.6.zip |
macOS binaries: | r-release (arm64): trinROC_0.6.tgz, r-oldrel (arm64): trinROC_0.6.tgz, r-release (x86_64): trinROC_0.6.tgz, r-oldrel (x86_64): trinROC_0.6.tgz |
Old sources: | trinROC archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.