In addition to my research, I develop open source software. The package I work on wraps cognitive measurement models in a brms-compatible interface, so fitting them feels more like running a regression than writing a custom sampler. Below is an overview of my open source software contributions.
bmm
bmm is an R package I co-develop with Ven Popov for fitting cognitive measurement models in a hierarchical Bayesian framework. It builds on brms and Stan, and uses the same formula syntax. If you know brms, you already know most of how bmm works.
The current focus is measurement models for working memory. bmm implements multiple measurement models in one place, with a consistent interface across model families.
Install
# From CRAN
install.packages("bmm")
# Development version
remotes::install_github("venpopov/bmm")Selected References
- Frischkorn, G. T., & Popov, V. (2025). A tutorial for estimating Bayesian hierarchical mixture models for visual working memory tasks: Introducing the Bayesian Measurement Modeling (bmm) package for R. Behavior Research Methods, 57(5), 144. https://doi.org/10.3758/s13428-025-02643-0