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semopy: A Python Package for Structural Equation Modeling
Structural Equation Modeling: A Multidisciplinary Journal ( IF 6 ) Pub Date : 2020-02-18 , DOI: 10.1080/10705511.2019.1704289 Anna A. Igolkina 1 , Georgy Meshcheryakov 1
Structural Equation Modeling: A Multidisciplinary Journal ( IF 6 ) Pub Date : 2020-02-18 , DOI: 10.1080/10705511.2019.1704289 Anna A. Igolkina 1 , Georgy Meshcheryakov 1
Affiliation
ABSTRACT Structural equation modeling (SEM) is a multivariate statistical technique for estimating complex relationships between observed and latent variables. Although numerous SEM packages currently exist, they each have limitations and more importantly they are not free or open-source. The only package that is both free and open-source is lavaan. However, because this package is written in R, it is often difficult to integrate it with other programming language functionalities. This paper provides an overview of a new Python package called semopy that was specifically developed to overcome these limitations. Using illustrative examples we introduce the new package and then compare its performance in accuracy and execution time to lavaan.
中文翻译:
semopy:用于结构方程建模的 Python 包
摘要 结构方程模型 (SEM) 是一种多变量统计技术,用于估计观察变量和潜在变量之间的复杂关系。尽管目前存在许多 SEM 软件包,但它们都有局限性,更重要的是它们不是免费的或开源的。唯一既免费又开源的软件包是 lavaan。但是,由于该包是用 R 编写的,因此通常很难将其与其他编程语言功能集成。本文概述了一个名为 semopy 的新 Python 包,该包是专门为克服这些限制而开发的。我们使用说明性示例介绍新包,然后将其在准确性和执行时间方面的性能与 lavaan 进行比较。
更新日期:2020-02-18
中文翻译:
semopy:用于结构方程建模的 Python 包
摘要 结构方程模型 (SEM) 是一种多变量统计技术,用于估计观察变量和潜在变量之间的复杂关系。尽管目前存在许多 SEM 软件包,但它们都有局限性,更重要的是它们不是免费的或开源的。唯一既免费又开源的软件包是 lavaan。但是,由于该包是用 R 编写的,因此通常很难将其与其他编程语言功能集成。本文概述了一个名为 semopy 的新 Python 包,该包是专门为克服这些限制而开发的。我们使用说明性示例介绍新包,然后将其在准确性和执行时间方面的性能与 lavaan 进行比较。