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>.
Package details |
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Author | Vencislav Popov [aut, cre, cph] (<https://orcid.org/0000-0002-8073-4199>), Gidon T. Frischkorn [aut, cph] (<https://orcid.org/0000-0002-5055-9764>), Paul-Christian Bürkner [cph] (Creator of 'brms', code portions of which are used in 'bmm'.) |
Maintainer | Vencislav Popov <vencislav.popov@gmail.com> |
License | GPL-2 |
Version | 1.0.1 |
URL | https://github.com/venpopov/bmm https://venpopov.github.io/bmm/ |
Package repository | View on CRAN |
Installation |
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