fairadapt: Fair Data Adaptation with Quantile Preservation

An implementation of the fair data adaptation with quantile preservation described in Plecko & Meinshausen (2019) <doi:10.48550/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:	0.2.7
Depends:	R (≥ 3.5.0)
Imports:	ranger (≥ 0.13.1), assertthat, quantreg, qrnn, igraph, ggplot2, cowplot, scales
Suggests:	testthat (≥ 3.0.3), knitr, rmarkdown, rticles, mvtnorm, magick, ggraph, pdftools, microbenchmark, xtable
Published:	2023-10-09
Author:	Drago Plecko [aut, cre], Nicolas Bennett [aut]
Maintainer:	Drago Plecko <drago.plecko at stat.math.ethz.ch>
BugReports:	https://github.com/dplecko/fairadapt/issues
License:	GPL (≥ 3)
URL:	https://github.com/dplecko/fairadapt
NeedsCompilation:	no
Language:	en-US
Citation:	fairadapt citation info
Materials:	README NEWS
CRAN checks:	fairadapt results

Documentation:

Reference manual:	fairadapt.pdf
Vignettes:	fairadapt: Causal Reasoning for Fair Data Pre-processing

Downloads:

Package source:	fairadapt_0.2.7.tar.gz
Windows binaries:	r-devel: fairadapt_0.2.7.zip, r-release: fairadapt_0.2.7.zip, r-oldrel: fairadapt_0.2.7.zip
macOS binaries:	r-release (arm64): fairadapt_0.2.7.tgz, r-oldrel (arm64): not available, r-release (x86_64): fairadapt_0.2.7.tgz, r-oldrel (x86_64): fairadapt_0.2.7.tgz
Old sources:	fairadapt archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fairadapt to link to this page.