CRAN/E | fairadapt

fairadapt

Fair Data Adaptation with Quantile Preservation

Installation

About

An implementation of the fair data adaptation with quantile preservation described in Plecko & Meinshausen (2019) . 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.

Citation fairadapt citation info
github.com/dplecko/fairadapt
Bug report File report

Key Metrics

Version 0.2.6
R ≥ 3.5.0
Published 2023-08-18 388 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks fairadapt results
Language en-US

Downloads

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Maintainer

Maintainer

Drago Plecko

[email protected]

Authors

Drago Plecko

aut / cre

Nicolas Bennett

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

fairadapt: Causal Reasoning for Fair Data Pre-processing

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

fairadapt archive

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