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multiROC  

Calculating and Visualizing ROC and PR Curves Across Multi-Class Classifications
View on CRAN: Click here


Download and install multiROC package within the R console
Install from CRAN:
install.packages("multiROC")

Install from Github:
library("remotes")
install_github("cran/multiROC")

Install by package version:
library("remotes")
install_version("multiROC", "1.1.1")



Attach the package and use:
library("multiROC")
Maintained by
Runmin Wei
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-10
Latest Update: 2018-06-26
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) .
How to cite:
Runmin Wei (2018). multiROC: Calculating and Visualizing ROC and PR Curves Across Multi-Class Classifications. R package version 1.1.1, https://cran.r-project.org/web/packages/multiROC. Accessed 14 Jun. 2026.
Previous versions and publish date:
1.0.0 (2018-01-10 13:43), 1.1.1 (2018-06-26 22:24)
Other packages that cited multiROC R package
View multiROC citation profile
Other R packages that multiROC depends, imports, suggests or enhances
Complete documentation for multiROC
Functions, R codes and Examples using the multiROC R package
Some associated functions: cal_auc . cal_confus . multi_pr . multi_roc . plot_pr_data . plot_roc_data . pr_auc_with_ci . pr_ci . roc_auc_with_ci . roc_ci . test_data . 
Some associated R codes: cal_auc.R . cal_confus.R . global_var.R . multi_pr.R . multi_roc.R . plot_pr_data.R . plot_roc_data.R . pr_auc_with_ci.R . pr_ci.R . roc_auc_with_ci.R . roc_ci.R .  Full multiROC package functions and examples
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