rsem: Robust Structural Equation Modeling with Missing Data and Auxiliary Variables

This package estimates means and covariance matrix of multiple variables with missing data using Huber weight and then estimates a SEM model using lavaan or EQS.

Version: 0.4.5
Depends: R (≥ 2.7), MASS, lavaan
Published: 2013-07-18
Author: Ke-Hai Yuan and Zhiyong Zhang
Maintainer: Zhiyong Zhang <zhiyongzhang at>
License: GPL-2
NeedsCompilation: no
CRAN checks: rsem results


Reference manual: rsem.pdf
Package source: rsem_0.4.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: rsem_0.4.5.tgz, r-oldrel: rsem_0.4.5.tgz
OS X Mavericks binaries: r-release: rsem_0.4.5.tgz
Old sources: rsem archive

Reverse dependencies:

Reverse depends: coefficientalpha