fairadapt
1.0.0Fair Data Adaptation with Quantile Preservation
Overview
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.
Install
Health
- ERROR r-oldrel-macos-arm64
- ERROR2026-03-1013 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 90%
- Return-value docs
- 89%
- References docs
- 11%
Downloads
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Checks run against github.com/dplecko/fairadapt on 2026-08-23.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
10 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.0Latest
- RR 4.4.0 released · 2024-04-24
- 0.2.72023-10-09 · diff ↗
- unarchivedReturned to CRAN2023-10-09
- archivedRemoved from CRAN2023-09-19issues were not corrected despite reminders
- 0.2.62023-08-18 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.2.52023-03-23 · diff ↗
- 0.2.42022-07-01 · diff ↗
- 0.2.32022-06-22 · diff ↗
- 0.2.22022-04-28 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.2.12021-10-19 · diff ↗
- 0.2.02021-07-28 · diff ↗
Show 4 earlier events
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.02019-11-28
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-11-28
- Total releases
- 10 / 7 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 1.3 MB / 3 files
- Download size
- 1.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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