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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>.
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Package details |
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| Author | Mike Cheung [aut, cre] (<https://orcid.org/0000-0003-0113-0758>), Fei Gu [ctb] (<https://orcid.org/0000-0002-1753-8398>), Yiu-Fai Yung [ctb] |
| Maintainer | Mike Cheung <mikewlcheung@nus.edu.sg> |
| License | GPL (>= 2) |
| Version | 1.0 |
| URL | https://github.com/mikewlcheung/mulsem |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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