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mulSEM  

Some Multivariate Analyses using Structural Equation Modeling
View on CRAN: Click here


Download and install mulSEM package within the R console
Install from CRAN:
install.packages("mulSEM")

Install from Github:
library("remotes")
install_github("cran/mulSEM")

Install by package version:
library("remotes")
install_version("mulSEM", "1.0")



Attach the package and use:
library("mulSEM")
Maintained by
Mike Cheung
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-04
Latest Update: 2024-02-04
Description:
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) , Gu, Yung, and Cheung (2019) , and Gu et al. (2023) .
How to cite:
Mike Cheung (2024). mulSEM: Some Multivariate Analyses using Structural Equation Modeling. R package version 1.0, https://cran.r-project.org/web/packages/mulSEM. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:33), 1.0 (2024-02-04 11:20)
Other packages that cited mulSEM R package
View mulSEM citation profile
Other R packages that mulSEM depends, imports, suggests or enhances
Complete documentation for mulSEM
Functions, R codes and Examples using the mulSEM R package
Some associated functions: Chittum19 . Lambert88 . Nimon21 . Thorndike00 . cancorr . mpcr . mulSEM-package . print . rda . sas_ex1 . sas_ex2 . 
Some associated R codes: cancorr.R . helper.R . mpcr.R . rda.R .  Full mulSEM package functions and examples
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