Package: fairadapt 0.2.6

Drago Plecko

fairadapt: Fair Data Adaptation with Quantile Preservation

An implementation of the fair data adaptation with quantile preservation described in Plecko & Meinshausen (2019) <arxiv:1911.06685>. 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.

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

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Peer review:

Bug tracker:https://github.com/dplecko/fairadapt/issues

On CRAN:

causal-inferencefairnessmachine-learning

11 exports 2 stars 0.94 score 40 dependencies 34 scripts 367 downloads

Last updated 1 years agofrom:2171b98f7b. Checks:OK: 7. Indexed: yes.

Exports:adaptedDatacomputeQuantsfairadaptfairadaptBootfairTwinsgraphModellinearQuantsmcqrnnQuantsquantFitrangerQuantsvisualizeGraph

Dependencies:assertthatclicolorspacecowplotcpp11fansifarverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmgcvmunsellnlmepillarpkgconfigqrnnquantregR6rangerRColorBrewerRcppRcppEigenrlangscalesSparseMsurvivaltibbleutf8vctrsviridisLitewithr