Tools to solve real-world problems with multiple classes by computing the areas under ROC curve via micro-averaging and macro-averaging. 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: | 1.0.0 |
| Imports: | magrittr, boot, ggplot2 |
| Suggests: | dplyr, knitr, rmarkdown |
| Published: | 2018-01-10 |
| 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 |
| Vignettes: |
A Quick Tour of multiROC |
| Package source: | multiROC_1.0.0.tar.gz |
| Windows binaries: | r-devel: multiROC_1.0.0.zip, r-release: multiROC_1.0.0.zip, r-oldrel: multiROC_1.0.0.zip |
| OS X El Capitan binaries: | r-release: multiROC_1.0.0.tgz |
| OS X Mavericks binaries: | r-oldrel: not available |
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