论文标题
Delicatessen：python中的m静态
Delicatessen: M-Estimation in Python
论文作者
论文摘要
M估计是一个简化估计的一般统计框架。在这里，我们介绍了Delicatessen，这是一个自动化M估计计算的Python库，并支持两个内置的用户指定估计方程。为了强调Delicatessen用于定量数据分析的实用性，我们提供了生命科学研究共有的几种插图：与离群值的线性回归鲁棒，剂量反应曲线的估计以及结果的标准化。
M-estimation is a general statistical framework that simplifies estimation. Here, we introduce delicatessen, a Python library that automates the tedious calculations of M-estimation, and supports both built-in user-specified estimating equations. To highlight the utility of delicatessen for quantitative data analysis, we provide several illustrations common to life science research: linear regression robust to outliers, estimation of a dose-response curve, and standardization of results.
