The goal of dySim is to simplify the process of running a variety of Monte Carlo simulations for the purpose of evaluating methods of dyadic data analysis. dySim piggybacks heavily on the lavaan and dySEM packages.
The dySim logo was designed by the amazing Lowell Deranleau (for logo design inquiries, email: agangofwolves@gmail.com).
Installation
You can install the development version of dySim from GitHub with:
# install.packages("devtools")
devtools::install_github("jsakaluk/dySim")Development Update
After laying dormant, I have recently started development on dySim again. It is being brought into alignment with the current (and rapidly growing) functionality of dySEM. I am intending dySim to support simulations of:
- parameter estimation bias, accuracy, and coverage
- statistical power and sample size planning
- model evaluation and selection
Would-be users should expect large changes to the API and functionality in the near future. I will be updating the documentation and vignettes as I go, but for now, please reach out if you have questions about how to use dySim or if you have suggestions for features to add.
Collaboration and Troubleshooting
Please submit any problems or feature requests via the dySim issues page.
If you are interested in collaborating on the development of dySim, please contact Dr. Sakaluk.