Fair Data Adaptation with Quantile Preservation

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.


Reference manual

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0.2.1 by Drago Plecko, 3 months ago


Report a bug at https://github.com/dplecko/fairadapt/issues

Browse source code at https://github.com/cran/fairadapt

Authors: Drago Plecko [aut, cre] , Nicolas Bennett [aut]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports ranger, assertthat, quantreg, qrnn, igraph, ggplot2, cowplot, scales

Suggests testthat, knitr, rmarkdown, markdown, data.table, rticles, mvtnorm, magick, ggraph, pdftools

See at CRAN