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.


Reference manual

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0.5.0 by Zhiyong Zhang, a year ago

Browse source code at

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