Structural equation modeling with the sem package in R
Structural equation modeling with the sem package in R
复制标题
DOI：
10.1207/s15328007sem1303_7
复制
发表时间：
2006-01-01
影响因子：
6
通讯作者：
Fox, John
中科院分区：
文献类型：
--
作者：
Fox, John
R 是免费、开源、合作开发的软件，用于实现 S 统计编程语言和计算环境。 R 目前的功能非常广泛，并且被广泛使用，尤其是在统计学家中。 sem 包在 R 中提供基本的结构方程建模工具，包括通过两阶段最小二乘法拟合观测变量模型中的结构方程的能力，以及通过假设多重正态性的全信息最大似然拟合潜在变量模型的能力。本文简要介绍了 R，然后说明了 sem 包中的 tsls 和 sem 函数的使用。本文还演示了 sem 包与 R 中其他可用工具的集成，例如用于计算多向相关性和引导。
R is free, open-source, cooperatively developed software that implements the S statistical programming language and computing environment. The current capabilities of R are extensive, and it is in wide use, especially among statisticians. The sem package provides basic structural equation modeling facilities in R, including the ability to fit structural equations in observed variable models by two-stage least squares, and to fit latent variable models by full information maximum likelihood assuming multinormality. This article briefly describes R, and then proceeds to illustrate the use of the tsls and sem functions in the sem package. The article also demonstrates the integration of the sem package with other facilities available in R, for example for computing polychoric correlations and for bootstrapping.