Learn R Programming

fairGATE

fairGATE is an R package for training and analysing fairness-aware gated neural networks (Mixture-of-Experts models) designed for subgroup-aware prediction and interpretability in many types of data, including but not limited to: health, clinical and economic data.


Copy Link

Version

Install

install.packages('fairGATE')

Monthly Downloads

155

Version

0.1.1

License

MIT + file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Rhys Holland

Last Published

December 8th, 2025

Functions in fairGATE (0.1.1)

adult_ready_small

Adult ready (small sample)
export_f360_csv

Export predictions for IBM Fairness 360
analyse_gnn_results

Analyse and Visualise GNN Results
train_gnn

Train and Evaluate the Gated Neural Network (robust splits + safe ROC)
analyse_experts

Analyse and Visualise Expert Network Specialisation
plot_sankey

Create a Sankey Plot (robust; aggregates to one row per subject)
prepare_data

Prepare Data for GNN Training