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: 0.5.0
Depends: R (≥ 2.7), MASS, lavaan
Published: 2020-04-21
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_0.5.0.tar.gz
Windows binaries: r-devel: rsem_0.5.0.zip, r-release: rsem_0.5.0.zip, r-oldrel: rsem_0.5.0.zip
macOS binaries: r-release (arm64): rsem_0.5.0.tgz, r-release (x86_64): rsem_0.5.0.tgz, r-oldrel: rsem_0.5.0.tgz
Old sources: rsem archive

Reverse dependencies:

Reverse depends: coefficientalpha

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