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:Marton Varga [cre, aut]

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'))

Peer review:

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

1.00 score 168 downloads 1 exports 31 dependencies

Last updated 1 years agofrom:72eb0c592a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-linuxOKNov 12 2024

Exports:multiroc

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpROCR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr