M-estimation is a general statistical approach that simplifies and unifies estimation in a variety of settings. Here, we introduce delicatessen, a Python library that automates the tedious calculations of M-estimation. To highlight the utility of delicatessen for data analyses in life science research, we provide several illustrations: linear regression robust to outliers, estimation of a dose-response curve, and standardization of results.
翻译:M- 估计是一种一般性的统计方法,在各种环境中简化和统一估算。在这里,我们引入了精细的Python 图书馆,该图书馆将M- 估计的乏味计算自动化。为了突出精细对生命科学研究数据分析的用处,我们提供了几个插图:线性回归对外部值具有强力作用,估计剂量反应曲线,以及结果标准化。