Package: bmm 1.2.0

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>.

Authors:Vencislav Popov [aut, cre, cph], Gidon T. Frischkorn [aut, cph], Chenyu Li [ctb], Paul-Christian Bürkner [cph]