fairadapt: Causal Reasoning for Fair Data Pre-processing
Introduction | Definitions of fairness | Fairness tasks | A causal approach | Novelty in the package | Methodology | University admission example | Structural causal models | Markovian SCM formulation | Implementation | Specifying the graphical model | Quantile learning step | Quantile methods | Influencing the fit | Computational speed | Fit quality | Extending to custom methods | Fair-twin inspection | Uncertainty quantification | Analyzing the uncertainty | Decision-maker analysis | Individual analysis | Illustration | Extensions | Adding resolving variables | Semi-Markovian and topological ordering variant | Questions of identifiability | Future avenues to be explored