结构方程建模
自举(财务)
潜变量
多色相关
R包
软件包
计算机科学
变量(数学)
软件
工业工程
数学
计算科学
程序设计语言
计量经济学
人工智能
工程类
机器学习
几何学
数学分析
相关性
标识
DOI:10.1207/s15328007sem1303_7
摘要
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.
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