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>.