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:Runmin Wei [aut, cre], Jingye Wang [aut], Wei Jia [ctb]

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'))

Peer review:

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 61 scripts 237 downloads 6 mentions 10 exports 4 dependencies

Last updated 6 years agofrom:c86982c0b5. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-linuxOKDec 10 2024

Exports:cal_auccal_confusmulti_prmulti_rocplot_pr_dataplot_roc_datapr_auc_with_cipr_ciroc_auc_with_ciroc_ci

Dependencies:bootlatticemagrittrzoo