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
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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'))

Peer review:

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:

6 exports 1 stars 0.83 score 16 dependencies 125 downloads

Last updated 8 months agofrom:221c1328df. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winOKSep 02 2024
R-4.5-linuxOKSep 02 2024
R-4.4-winOKSep 02 2024
R-4.4-macOKSep 02 2024
R-4.3-winOKSep 02 2024
R-4.3-macOKSep 02 2024

Exports:cancorrmpcrprint.CanCorrprint.MPCRprint.RDArda

Dependencies:BHclidigestgluelatticelifecycleMASSMatrixmvtnormOpenMxRcppRcppEigenRcppParallelrlangrpfStanHeaders