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fairadapt
View on CRAN: Click
here
Download and install fairadapt package within the R console
Install from CRAN:
install.packages("fairadapt")
Install from Github:
library("remotes")
install_github("cran/fairadapt") Install by package version:
library("remotes")
install_version("fairadapt", "1.0.0") Attach the package and use:
library("fairadapt")
Maintained by
Drago Plecko
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-28
Latest Update: 2024-09-06
Description:
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.
How to cite:
Drago Plecko (2019). fairadapt: Fair Data Adaptation with Quantile Preservation. R package version 1.0.0, https://cran.r-project.org/web/packages/fairadapt. Accessed 11 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for fairadapt
Functions, R codes and Examples using
the fairadapt R package
Some associated functions: adaptedData . compas . computeQuants . fairTwins . fairadapt-package . fairadapt . fairadaptBoot . gov_census . graphModel . predict.fairadapt . predict.fairadaptBoot . quantFit . rangerQuants . uni_admission . visualizeGraph .
Some associated R codes: boot.R . checks.R . data.R . fairadapt.R . generics.R . globals.R . graphs.R . quants.R . seeds.R . utils.R . Full fairadapt package functions and examples
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