| adaptedData | Convenience function for returning adapted data |
| adaptedData.fairadapt | Convenience function for returning adapted data |
| adaptedData.fairadaptBoot | Convenience function for returning adapted data |
| compas | COMPAS dataset. |
| computeQuants | Compute Quantiles generic for the Quantile Learning step. |
| fairadapt | Fairadapt |
| fairadaptBoot | Fairadapt Boostrap wrapper |
| fairTwins | Fair Twin Inspection convenience function. |
| gov_census | Census information of US government employees. |
| graphModel | Obtaining the graphical causal model (GCM) |
| linearQuants | Quantile Engine Constructor for the Quantile Learning step. |
| mcqrnnQuants | Quantile Engine Constructor for the Quantile Learning step. |
| predict.fairadapt | Prediction function for new data from a saved 'fairadapt' object. |
| predict.fairadaptBoot | Prediction function for new data from a saved 'fairadaptBoot' object. |
| quantFit | Quality of quantile fit statistics. |
| rangerQuants | Quantile Engine Constructor for the Quantile Learning step. |
| uni_admission | University admission data of 1,000 students. |
| visualizeGraph | Visualize Graphical Causal Model |