Fair Data Adaptation with Quantile Preservation


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Documentation for package ‘fairadapt’ version 1.0.0

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