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Tools to solve real-world problems with multiple classes classifications by computing the areas under ROC and PR curve via micro-averaging and macro-averaging. The vignettes of this package can be found via <https://github.com/WandeRum/multiROC>. The methodology is described in V. Van Asch (2013) <https://www.clips.uantwerpen.be/~vincent/pdf/microaverage.pdf> and Pedregosa et al. (2011) <http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html>.
| Version: | 1.1.1 |
| Imports: | zoo, magrittr, boot, stats |
| Suggests: | dplyr, ggplot2 |
| Published: | 2018-06-26 |
| DOI: | 10.32614/CRAN.package.multiROC |
| Author: | Runmin Wei [aut, cre], Jingye Wang [aut], Wei Jia [ctb] |
| Maintainer: | Runmin Wei <runmin at hawaii.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | multiROC results |
| Reference manual: | multiROC.pdf |
| Package source: | multiROC_1.1.1.tar.gz |
| Windows binaries: | r-devel: multiROC_1.1.1.zip, r-release: multiROC_1.1.1.zip, r-oldrel: multiROC_1.1.1.zip |
| macOS binaries: | r-release (arm64): multiROC_1.1.1.tgz, r-oldrel (arm64): multiROC_1.1.1.tgz, r-release (x86_64): multiROC_1.1.1.tgz, r-oldrel (x86_64): multiROC_1.1.1.tgz |
| Old sources: | multiROC 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.