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: 0.5.1
Depends: R (≥ 2.7), MASS, lavaan
Published: 2023-08-26
DOI: 10.32614/CRAN.package.rsem
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_0.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): rsem_0.5.1.tgz, r-oldrel (arm64): rsem_0.5.1.tgz, r-release (x86_64): rsem_0.5.1.tgz, r-oldrel (x86_64): rsem_0.5.1.tgz
Old sources: rsem archive

Reverse dependencies:

Reverse depends: bmemLavaan, coefficientalpha


Please use the canonical form to link to this page.