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Robust Structural Equation Modeling with Missing Data and Auxiliary Variables
Description
A robust procedure is implemented to estimate means and covariance matrix of multiple variables with missing data using Huber weight and then to estimate a structural equation model.
Details
Package: rsem
Type: Package
License: GPL-2
LazyLoad: yes
Author(s)
Ke-Hai Yuan and Zhiyong Zhang
Maintainer: Zhiyong Zhang <zhiyongzhang@nd.edu>
References
Yuan, K.-H., & Zhang, Z. (2012). Robust structural equation modeling with missing data and auxiliary variables. Psychometrika, 77(4), 803-826. https://doi.org/10.1007/s11336-012-9282-4
rsem documentation built on Aug. 27, 2023, 1:06 a.m.
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| rsem-package | R Documentation |
Robust Structural Equation Modeling with Missing Data and Auxiliary Variables
Description
A robust procedure is implemented to estimate means and covariance matrix of multiple variables with missing data using Huber weight and then to estimate a structural equation model.
Details
| Package: | rsem |
| Type: | Package |
| License: | GPL-2 |
| LazyLoad: | yes |
Author(s)
Ke-Hai Yuan and Zhiyong Zhang Maintainer: Zhiyong Zhang <zhiyongzhang@nd.edu>
References
Yuan, K.-H., & Zhang, Z. (2012). Robust structural equation modeling with missing data and auxiliary variables. Psychometrika, 77(4), 803-826. https://doi.org/10.1007/s11336-012-9282-4
R Package Documentation
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