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 [aut, cre], Fei Gu [ctb], Yiu-Fai Yung [ctb] |
Maintainer: | Mike Cheung <mikewlcheung at nus.edu.sg> |
BugReports: | https://github.com/mikewlcheung/mulsem/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/mikewlcheung/mulsem |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | mulSEM results |
Reference manual: | mulSEM.pdf |
Package source: | mulSEM_1.0.tar.gz |
Windows binaries: | r-devel: mulSEM_1.0.zip, r-release: mulSEM_1.0.zip, r-oldrel: mulSEM_1.0.zip |
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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