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:
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-4.4-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
- 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
Last updated 10 months agofrom:221c1328df. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:cancorrmpcrprint.CanCorrprint.MPCRprint.RDArda
Dependencies:BHclidigestgluelatticelifecycleMASSMatrixmvtnormOpenMxRcppRcppEigenRcppParallelrlangrpfStanHeaders
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Some Multivariate Analyses using Structural Equation Modeling | mulSEM-package mulSEM |
| Canonical Correlation Analysis | cancorr |
| Correlation matrix of a model of motivation | Chittum19 |
| Correlation matrix of artificial data | Lambert88 |
| Multivariate Principal Component Regression (MPCR) | mpcr |
| Raw data used in Nimon, Joo, and Bontrager (2021) | Nimon21 |
| Print Methods for various Objects | print.CanCorr print.MPCR print.RDA |
| Redundancy Analysis | rda |
| Sample data for canonical correlation analysis from the SAS manual | sas_ex1 |
| Sample data for redundancy analysis from the SAS manual | sas_ex2 |
| Correlation matrix of a model of disgust | Thorndike00 |
