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fairadapt  

Fair Data Adaptation with Quantile Preservation
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", "0.2.7")



Attach the package and use:
library("fairadapt")
Maintained by
Drago Plecko
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-28
Latest Update: 2023-08-18
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 0.2.7, https://cran.r-project.org/web/packages/fairadapt
Previous versions and publish date:
0.1.0 (2019-11-28 16:10), 0.2.0 (2021-07-28 13:10), 0.2.1 (2021-10-19 19:20), 0.2.2 (2022-04-28 15:00), 0.2.3 (2022-06-22 14:50), 0.2.4 (2022-07-01 17:20), 0.2.5 (2023-03-23 16:02), 0.2.6 (2023-08-18 12:42)
Other packages that cited fairadapt R package
View fairadapt citation profile
Other R packages that fairadapt depends, imports, suggests or enhances
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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