CRAN Stable Version
Dev Version (newest feature)
✓ A beginner-friendly R package for statistical analysis in social science (intermediate & advanced R users should also find it useful)
✓ Tired of manually writing all variables in a model? You can use dplyr::select() syntax for all models
✓ Fitting models, plotting, checking goodness of fit, and model assumption violations all in one place.
✓ Beautiful and easy-to-read output. Check out this example now.
✓ In the backend, this package uses reliable R packages (e.g.,
psych) to handle all statistical analysis.
Structure Equation Modeling:
Note: If you like this package, please considering give it a star on GitHub. I would really appreciate that.
Authors: Jason Moy
Citation: Moy, J. H. (2021). psycModel: Integrated Toolkit for Psychological Analysis and Modeling in R. CRAN. https://cran.r-project.org/package=psycModel.
Logo Design: Danlin Liu
Note: A more exhaustive list is available here. If you have any feature request, please feel free to let me know by writing a new GitHub issue.
The current release is the alpha version of the package since I plan to add more features and support more models in the future (read more about planned updates here). If you are interested in help building this package, please feel free to submit a pull request / GitHub issue. Although I tried my best to fix any bugs, the package is not guarantee to be bug-free. If you find any bugs, please submit them in the GitHub issue. Although the package is depended on reliable R packages for all statistical analysis, I still encourage validating the output of this package with another statistical software (e.g., SPSS, MPlus, Python). This package is licensed under the GPLv3 liscense. You may use, re-distribute, and modified the package. Additionally, this package does provide any kind of warranty, either expressed or implied based on the GPLv3 liscense. Finally, you should expect many changes that are not backward compatible until the package’s first major release (i.e., v1.0.0).
This package was built by standing on the shoulders of giants with special thanks to researchers and developers of
psych, and of course, all of the
tidyverse packages. I hope this package can help someone in the same way that these packages has helped me.
Please note that the psycModel project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.