Fitting Nonlinear Structural Equation Models in R with Package nlsem

Fitting Nonlinear Structural Equation Models in R with Package nlsem

Structural equation mixture modeling (SEMM) has become a standard procedure in latent variable modeling over the last two decades (Jedidi, Jagpal, and DeSarbo 1997b; Muthén and Shedden 1999; Muthén 2001, 2004; Muthén and Asparouhov 2009). SEMM was proposed as a technique for the approximation of non...

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Bibliographic Details
Main Authors: Nora Umbach, Katharina Naumann, Holger Brandt, Augustin Kelava
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2017-05-01
Series:Journal of Statistical Software
Subjects:
interaction effect
quadratic effect
nonlinear effect
mixture model
nonnormality
semiparametric
latent variables
R
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2435

Internet

https://www.jstatsoft.org/index.php/jss/article/view/2435

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