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)
- Version1.0.1
- R version≥ 3.6.0
- LicenseGPL-2
- Needs compilation?No
- bmm citation info
- Last release05/27/2024
Documentation
Team
Vencislav Popov
Gidon T. Frischkorn
Paul-Christian Bürkner
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- Depends1 package
- Imports12 packages
- Suggests15 packages