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:
mulSEM_1.2.tar.gz
mulSEM_1.2.zip(r-4.7)mulSEM_1.2.zip(r-4.6)mulSEM_1.2.zip(r-4.5)
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
- 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
Last updated from:505d5367ef. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 151 | ||
| source / vignettes | OK | 179 | ||
| linux-release-x86_64 | OK | 162 | ||
| macos-release-arm64 | OK | 116 | ||
| macos-oldrel-arm64 | OK | 113 | ||
| windows-devel | OK | 119 | ||
| windows-release | OK | 106 | ||
| windows-oldrel | OK | 124 | ||
| wasm-release | OK | 120 |
Dependencies:BHclidigestlatticelifecycleMASSMatrixmvtnormOpenMxRcppRcppEigenRcppParallelrlangrpfStanHeaders
