https://rhysholland.r-universe.devRecent package updates in rhyshollandR-universehttps://github.com/rhysholland.pnghttps://rhysholland.r-universe.devWed, 07 Jan 2026 11:06:15 GMTrhys.holland@icloud.com (Rhys Holland)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>.https://github.com/r-universe/rhysholland/actions/runs/27055625746Wed, 07 Jan 2026 11:06:15 GMTfairGATE0.1.0successhttps://rhysholland.r-universe.devhttps://github.com/rhysholland/fairgaterhys.holland@icloud.com (Rhys Holland)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>.https://github.com/r-universe/rhysholland/actions/runs/27124803355Sun, 26 Oct 2025 20:33:49 GMTfairGNN0.1.0successhttps://rhysholland.r-universe.devhttps://github.com/cran/fairGNNintroduction-to-fairGNN.Rmdintroduction-to-fairGNN.htmlIntroduction to fairGNN2025-10-26 20:33:492025-10-26 20:33:49