bmm
Easy and Accessible Bayesian Measurement Models Using 'brms'
Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into 'brms' syntax, a powerful and flexible framework for fitting Bayesian regression models using 'Stan'. The package is designed so that users can easily apply state-of-the-art models in various research fields, and so that researchers can use it as a new model development framework. References: Frischkorn and Popov (2023) <doi:10.31234/osf.io/umt57>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.0 |
2026-04-09 windows/windows R-4.5 | bmm_1.3.0.zip |
1.2 MiB |