Delicatessen: M-Estimation in Python
Methodology
2022-10-12 v3 Computation
Abstract
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.
Cite
@article{arxiv.2203.11300,
title = {Delicatessen: M-Estimation in Python},
author = {Paul N Zivich and Mark Klose and Stephen R Cole and Jessie K Edwards and Bonnie E Shook-Sa},
journal= {arXiv preprint arXiv:2203.11300},
year = {2022}
}
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