mupet: Multiclass Performance Evaluation Toolkit

Implementation of custom 'tidymodels' metrics for multi-class prediction models with a single negative class. Currently are implemented macro-average sensitivity and specificity as in Mortaz, Ebrahim (2020) "Imbalance accuracy metric for model selection in multi-class imbalance classification problems” <doi:10.1016/j.knosys.2020.106490> and a generalized weighted Youden index as in Li, D.L., Shen F., Yin Y., Peng J.X and Chen P.Y. (2013) “Weighted Youden index and its two-independent-sample comparison based on weighted sensitivity and specificity” <doi:10.3760/cma.j.issn.0366-6999.20123102>.

Version:	0.1.0
Imports:	rlang, yardstick
Suggests:	testthat (≥ 3.0.0)
Published:	2026-01-21
DOI:	10.32614/CRAN.package.mupet
Author:	Lise Bellanger [aut], Manon Simonot [aut], Aymeric Stamm [aut, cre]
Maintainer:	Aymeric Stamm <aymeric.stamm at cnrs.fr>
BugReports:	https://github.com/astamm/mupet/issues
License:	MIT + file LICENSE
URL:	https://github.com/astamm/mupet, https://astamm.github.io/mupet/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	mupet results

Documentation:

Reference manual:

mupet.html , mupet.pdf

Downloads:

Package source:	mupet_0.1.0.tar.gz
Windows binaries:	r-devel: mupet_0.1.0.zip, r-release: mupet_0.1.0.zip, r-oldrel: mupet_0.1.0.zip
macOS binaries:	r-release (arm64): mupet_0.1.0.tgz, r-oldrel (arm64): mupet_0.1.0.tgz, r-release (x86_64): mupet_0.1.0.tgz, r-oldrel (x86_64): mupet_0.1.0.tgz

Linking:

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