rsem: 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.

Version: 0.4.6
Depends: R (≥ 2.7), MASS, lavaan
Published: 2015-05-15
Author: Ke-Hai Yuan and Zhiyong Zhang
Maintainer: Zhiyong Zhang <zhiyongzhang at>
License: GPL-2
NeedsCompilation: no
In views: MissingData, Psychometrics
CRAN checks: rsem results


Reference manual: rsem.pdf
Package source: rsem_0.4.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: rsem_0.4.6.tgz, r-oldrel: rsem_0.4.6.tgz
Old sources: rsem archive

Reverse dependencies:

Reverse depends: coefficientalpha


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