An implementation of the fair data adaptation with quantile preservation described in Plecko & Meinshausen (2019) <arXiv:1911.06685>. The adaptation procedure uses the specified causal graph to pre-process the given training and testing data in such a way to remove the bias caused by the protected attribute. The procedure uses tree ensembles for quantile regression.
| Version: | 0.1.0 |
| Imports: | ranger |
| Published: | 2019-11-28 |
| Author: | Drago Plecko |
| Maintainer: | Drago Plecko <drago.plecko at stat.math.ethz.ch> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | fairadapt results |
| Reference manual: | fairadapt.pdf |
| Package source: | fairadapt_0.1.0.tar.gz |
| Windows binaries: | r-devel: fairadapt_0.1.0.zip, r-release: fairadapt_0.1.0.zip, r-oldrel: fairadapt_0.1.0.zip |
| macOS binaries: | r-release: fairadapt_0.1.0.tgz, r-oldrel: fairadapt_0.1.0.tgz |
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