An implementation of the fair data adaptation with quantile preservation described in Plecko & Meinshausen (JMLR 2020, 21(242), 1-44). 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. Instructions for using the methods are further elaborated in the corresponding JSS manuscript, see <doi:10.18637/jss.v110.i04>.
Version: 1.0.0 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, spelling Published: 2024-09-06 DOI: 10.32614/CRAN.package.fairadapt Author: Drago Plecko [aut, cre], Nicolas Bennett [aut] Maintainer: Drago Plecko <www.plecko at gmail.com> 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fairadapt to link to this page.
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