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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 nd.edu>
License: GPL-2
URL: https://bigdatalab.nd.edu
NeedsCompilation: no
In views: MissingData, Psychometrics
CRAN checks: rsem results

Documentation:

Reference manual: rsem.pdf

Downloads:

Package source: rsem_0.5.1.tar.gz
Windows binaries: r-devel: rsem_0.5.1.zip, r-release: rsem_0.5.1.zip, r-oldrel: rsem_0.5.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rsem to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.