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-4.7-any)MultiClassROC_0.1.0.tar.gz(r-4.6-any)
MultiClassROC_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MultiClassROC/json (API)

# Install 'MultiClassROC' in R:
install.packages('MultiClassROC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.00 score 142 downloads 1 exports 19 dependencies

Last updated from:72eb0c592a. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK185
linux-release-x86_64OK117
wasm-releaseOK105

Exports:multiroc

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecyclepROCR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr