# Fair Data Adaptation with Quantile Preservation

## Documentation for package ‘fairadapt’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

adaptedData | Convenience function for returning adapted data
adaptedData.fairadapt | Convenience function for returning adapted data
adaptedData.fairadaptBoot | Convenience function for returning adapted data
autoplot.fairadapt | Plotting data before and after adaptation
compas | COMPAS dataset
computeQuants | Compute quantiles generic for the quantile learning step
fairadapt | Fair data adaptation (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
plot.fairadapt | Plotting data before and after adaptation
predict.fairadapt | Prediction function for new data from a saved 'fairadapt' object
predict.fairadaptBoot | Prediction function for new data from a saved 'fairadaptBoot' object
print.fairadapt | Fair data adaptation (fairadapt)
print.fairadaptBoot | Fairadapt boostrap wrapper
print.summary.fairadapt | Summarizing fairadapt fit
print.summary.fairadaptBoot | Summarizing fairadaptBoot fit
quantFit | Quality of quantile fit statistics
rangerQuants | Quantile engine constructor for the quantile learning step
summary.fairadapt | Summarizing fairadapt fit
summary.fairadaptBoot | Summarizing fairadaptBoot fit
uni_admission | University admission data of 1,000 students
visualizeGraph | Visualize graphical causal model