multiROC: Calculating and Visualizing ROC Curves Across Multi-Class Classifications

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

Downloads:

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 binaries: r-release: multiROC_1.0.0.tgz, r-oldrel: multiROC_1.0.0.tgz

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