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fairGNN  

Fairness-Aware Gated Neural Networks
View on CRAN: Click here


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

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

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



Attach the package and use:
library("fairGNN")
Maintained by
Rhys Holland
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-26
Latest Update: 2025-10-26
Description:
Tools for training and analysing fairness-aware gated neural networks for subgroup-aware prediction and interpretation in clinical datasets. Methods draw on prior work in mixture-of-experts neural networks by Jordan and Jacobs (1994) <doi:10.1007/978-1-4471-2097-1_113>, fairness-aware learning by Hardt, Price, and Srebro (2016) <doi:10.48550/arXiv.1610.02413>, and personalised treatment prediction for depression by Iniesta, Stahl, and McGuffin (2016) <doi:10.1016/j.jpsychires.2016.03.016>.
How to cite:
Rhys Holland (2025). fairGNN: Fairness-Aware Gated Neural Networks. R package version 0.1.0, https://cran.r-project.org/web/packages/fairGNN. Accessed 04 Oct. 2026.
Previous versions and publish date:
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Complete documentation for fairGNN
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Full fairGNN package functions and examples
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