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mupet  

Multiclass Performance Evaluation Toolkit
View on CRAN: Click here


Download and install mupet package within the R console
Install from CRAN:
install.packages("mupet")

Install from Github:
library("remotes")
install_github("cran/mupet")

Install by package version:
library("remotes")
install_version("mupet", "0.1.0")



Attach the package and use:
library("mupet")
Maintained by
Aymeric Stamm
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-21
Latest Update: 2026-01-21
Description:
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>.
How to cite:
Aymeric Stamm (2026). mupet: Multiclass Performance Evaluation Toolkit. R package version 0.1.0, https://cran.r-project.org/web/packages/mupet. Accessed 09 Mar. 2026.
Previous versions and publish date:
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Complete documentation for mupet
Functions, R codes and Examples using the mupet R package
Full mupet package functions and examples
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