Package: multiROC 1.1.1
Runmin Wei
multiROC: Calculating and Visualizing ROC and PR Curves Across Multi-Class Classifications
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>.
Authors:
multiROC_1.1.1.tar.gz
multiROC_1.1.1.tar.gz(r-4.5-noble)multiROC_1.1.1.tar.gz(r-4.4-noble)
multiROC_1.1.1.tgz(r-4.4-emscripten)multiROC_1.1.1.tgz(r-4.3-emscripten)
multiROC.pdf |multiROC.html✨
multiROC/json (API)
| # Install 'multiROC' in R: |
| install.packages('multiROC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- test_data - Example dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:c86982c0b5. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 08 2025 |
| R-4.5-linux | OK | Feb 08 2025 |
Exports:cal_auccal_confusmulti_prmulti_rocplot_pr_dataplot_roc_datapr_auc_with_cipr_ciroc_auc_with_ciroc_ci
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Area under ROC curve | cal_auc |
| Calculate confusion matrices | cal_confus |
| Multi-class classification PR | multi_pr |
| Multi-class classification ROC | multi_roc |
| Generate PR plotting data | plot_pr_data |
| Generate ROC plotting data | plot_roc_data |
| Output of PR bootstrap confidence intervals | pr_auc_with_ci |
| PR bootstrap confidence intervals | pr_ci |
| Output of ROC bootstrap confidence intervals | roc_auc_with_ci |
| ROC bootstrap confidence intervals | roc_ci |
| Example dataset | test_data |