fairadapt: Fair Data Adaptation with Quantile Preservation

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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