Robust Structural Equation Modeling with Missing Data and Auxiliary Variables

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.


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install.packages("rsem")

0.5.0 by Zhiyong Zhang, a year ago


https://bigdatalab.nd.edu


Browse source code at https://github.com/cran/rsem


Authors: Ke-Hai Yuan and Zhiyong Zhang


Documentation:   PDF Manual  


Task views: Psychometric Models and Methods, Missing Data


GPL-2 license


Depends on MASS, lavaan


Depended on by coefficientalpha.


See at CRAN