fairml：统计学家对公平机器学习建模的看法（英文版）

英文标题：fairml: A Statistician's Take on Fair Machine Learning Modelling中文摘要：本文介绍了 fairml R 包，该包旨在通过经典统计模型和惩罚回归结果（岭回归）实现公平和可解释的机器学习模型，并提供模型估计，选择和验证功能，以及诊断图。英文摘要：The adoption of machine learning in applications where it is crucial toensure fairness and accountability has led to a large number of model proposalsin the literature, largely formulated as optimisation problems with constraintsreducing or eliminating the effect of sensitive attributes on the response.While this approach is very flexible f