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>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | dplyr, tibble, ggplot2, readr, pROC, magrittr, tidyr, purrr, utils, stats, ggalluvial, tidyselect, rlang |
| Suggests: | knitr, torch, testthat, readxl, rmarkdown |
| Published: | 2025-12-08 |
| DOI: | 10.32614/CRAN.package.fairGATE |
| Author: | Rhys Holland [aut, cre], Raquel Iniesta [aut] |
| Maintainer: | Rhys Holland <rhys.holland at icloud.com> |
| BugReports: | https://github.com/rhysholland/FairGate/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/rhysholland/FairGATE |
| NeedsCompilation: | no |
| SystemRequirements: | Optional 'LibTorch' backend; install via torch::install_torch(). |
| Materials: | README |
| CRAN checks: | fairGATE results |
| Reference manual: | fairGATE.html , fairGATE.pdf |
| Vignettes: |
Introduction to fairGATE (source, R code) |
| Package source: | fairGATE_0.1.1.tar.gz |
| Windows binaries: | r-devel: fairGATE_0.1.1.zip, r-release: fairGATE_0.1.1.zip, r-oldrel: fairGATE_0.1.1.zip |
| macOS binaries: | r-release (arm64): fairGATE_0.1.1.tgz, r-oldrel (arm64): fairGATE_0.1.1.tgz, r-release (x86_64): fairGATE_0.1.1.tgz, r-oldrel (x86_64): fairGATE_0.1.1.tgz |
| Old sources: | fairGATE archive |
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