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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 |
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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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.
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