Package: MultiClassROC 0.1.0
Marton Varga
MultiClassROC: ROC Curves for Multi-Class Analysis
Function multiroc() can be used for computing and visualizing Receiver Operating Characteristics (ROC) and Area Under the Curve (AUC) for multi-class classification problems. It supports both One-vs-One approach by M.Bishop, C. (2006, ISBN:978-0-387-31073-2) and One-vs-All approach by Murphy P., K. (2012, ISBN:9780262018029).
Authors:
MultiClassROC_0.1.0.tar.gz
MultiClassROC_0.1.0.tar.gz(r-4.5-noble)MultiClassROC_0.1.0.tar.gz(r-4.4-noble)
MultiClassROC_0.1.0.tgz(r-4.4-emscripten)MultiClassROC_0.1.0.tgz(r-4.3-emscripten)
MultiClassROC.pdf |MultiClassROC.html✨
MultiClassROC/json (API)
# Install 'MultiClassROC' in R: |
install.packages('MultiClassROC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:72eb0c592a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 13 2024 |
R-4.5-linux | OK | Oct 13 2024 |
Exports:multiroc
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpROCR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
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ROC Curves for Multi-Class Analysis | multiroc |