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fairmetrics  

Fairness Evaluation Metrics with Confidence Intervals for Binary Protected Attributes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fairmetrics", "1.0.8")



Attach the package and use:
library("fairmetrics")
Maintained by
Benjamin Smith
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-19
Latest Update: 2025-07-22
Description:
A collection of functions for computing fairness metrics for machine learning and statistical models, including confidence intervals for each metric. The package supports the evaluation of group-level fairness criterion commonly used in fairness research, particularly in healthcare. It is based on the overview of fairness in machine learning written by Gao et al (2024) <doi:10.48550/arXiv.2406.09307>.
How to cite:
Benjamin Smith (2025). fairmetrics: Fairness Evaluation Metrics with Confidence Intervals for Binary Protected Attributes. R package version 1.0.8, https://cran.r-project.org/web/packages/fairmetrics. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:37), 1.0.0 (2025-05-19 10:40), 1.0.1 (2025-06-01 07:10), 1.0.2 (2025-06-05 09:50), 1.0.3 (2025-06-12 19:20), 1.0.4 (2025-07-23 00:30), 1.0.5 (2025-09-05 21:10), 1.0.6 (2025-09-11 09:20), 1.0.7 (2025-10-06 20:40)
Other packages that cited fairmetrics R package
View fairmetrics citation profile
Other R packages that fairmetrics depends, imports, suggests or enhances
Complete documentation for fairmetrics
Functions, R codes and Examples using the fairmetrics R package
Full fairmetrics package functions and examples
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