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.html , 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:

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