mulSEM: Some Multivariate Analyses using Structural Equation Modeling

A set of functions for some multivariate analyses utilizing a structural equation modeling (SEM) approach through the 'OpenMx' package. These analyses include canonical correlation analysis (CANCORR), redundancy analysis (RDA), and multivariate principal component regression (MPCR). It implements procedures discussed in Gu and Cheung (2023) <doi:10.1111/bmsp.12301>, Gu, Yung, and Cheung (2019) <doi:10.1080/00273171.2018.1512847>, and Gu et al. (2023) <doi:10.1080/00273171.2022.2141675>.

Version: 1.0
Depends: R (≥ 3.5.0), OpenMx
Imports: stats
Published: 2024-02-04
DOI: 10.32614/CRAN.package.mulSEM
Author: Mike Cheung ORCID iD [aut, cre], Fei Gu ORCID iD [ctb], Yiu-Fai Yung [ctb]
Maintainer: Mike Cheung <mikewlcheung at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mulSEM results


Reference manual: mulSEM.pdf


Package source: mulSEM_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mulSEM_1.0.tgz, r-oldrel (arm64): mulSEM_1.0.tgz, r-release (x86_64): mulSEM_1.0.tgz, r-oldrel (x86_64): mulSEM_1.0.tgz


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