Package: mulSEM 1.2

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_1.2.tar.gz
mulSEM_1.2.zip(r-4.7-any)mulSEM_1.2.zip(r-4.6-any)mulSEM_1.2.zip(r-4.5-any)
mulSEM_1.2.tgz(r-4.6-any)mulSEM_1.2.tgz(r-4.5-any)
mulSEM_1.2.tar.gz(r-4.7-any)mulSEM_1.2.tar.gz(r-4.6-any)
mulSEM_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mulSEM/json (API)

# 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
  • sas_ex1 - Sample data for canonical correlation analysis from the SAS manual
  • sas_ex2 - Sample data for redundancy analysis from the SAS manual
  • Thorndike00 - Correlation matrix of a model of disgust

On CRAN:

Conda:

3.00 score 1 stars 1 scripts 212 downloads 3 exports 15 dependencies

Last updated from:505d5367ef. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK168
source / vignettesOK156
linux-releaseOK130
macos-releaseOK226
macos-oldrelOK210
windows-develOK95
windows-releaseOK106
windows-oldrelOK112
wasm-releaseOK103

Exports:cancorrmpcrrda

Dependencies:BHclidigestlatticelifecycleMASSMatrixmvtnormOpenMxRcppRcppEigenRcppParallelrlangrpfStanHeaders