Learn R Programming

multiROC (version 1.1.1)

Calculating and Visualizing ROC and PR Curves Across Multi-Class Classifications

Description

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 . The methodology is described in V. Van Asch (2013) and Pedregosa et al. (2011) .

Copy Link

Version

Install

install.packages('multiROC')

Monthly Downloads

290

Version

1.1.1

License

GPL-3

Maintainer

Runmin Wei

Last Published

June 26th, 2018

Functions in multiROC (1.1.1)

plot_pr_data

Generate PR plotting data
test_data

Example dataset
plot_roc_data

Generate ROC plotting data
pr_ci

PR bootstrap confidence intervals
pr_auc_with_ci

Output of PR bootstrap confidence intervals
roc_auc_with_ci

Output of ROC bootstrap confidence intervals
roc_ci

ROC bootstrap confidence intervals
cal_auc

Area under ROC curve
cal_confus

Calculate confusion matrices
multi_pr

Multi-class classification PR
multi_roc

Multi-class classification ROC