Package: mulSEM 1.0

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>.

Authors:Mike Cheung [aut, cre], Fei Gu [ctb], Yiu-Fai Yung [ctb]

mulSEM_1.0.tar.gz
mulSEM_1.0.zip(r-4.5)mulSEM_1.0.zip(r-4.4)mulSEM_1.0.zip(r-4.3)
mulSEM_1.0.tgz(r-4.5-any)mulSEM_1.0.tgz(r-4.4-any)mulSEM_1.0.tgz(r-4.3-any)
mulSEM_1.0.tar.gz(r-4.5-noble)mulSEM_1.0.tar.gz(r-4.4-noble)
mulSEM_1.0.tgz(r-4.4-emscripten)mulSEM_1.0.tgz(r-4.3-emscripten)
mulSEM.pdf |mulSEM.html
mulSEM/json (API)
NEWS

# Install 'mulSEM' in R:
install.packages('mulSEM', repos = c('https://mikewlcheung.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mikewlcheung/mulsem/issues

Datasets:
  • Chittum19 - Correlation matrix of a model of motivation
  • Lambert88 - Correlation matrix of artificial data
  • Nimon21 - Raw data used in Nimon, Joo, and Bontrager
  • Thorndike00 - Correlation matrix of a model of disgust
  • sas_ex1 - Sample data for canonical correlation analysis from the SAS manual
  • sas_ex2 - Sample data for redundancy analysis from the SAS manual

On CRAN:

Conda:

2.70 score 1 stars 151 downloads 6 exports 16 dependencies

Last updated 1 years agofrom:221c1328df. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winOKMar 31 2025
R-4.5-macOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-winOKMar 31 2025
R-4.4-macOKMar 31 2025
R-4.4-linuxOKMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:cancorrmpcrprint.CanCorrprint.MPCRprint.RDArda

Dependencies:BHclidigestgluelatticelifecycleMASSMatrixmvtnormOpenMxRcppRcppEigenRcppParallelrlangrpfStanHeaders