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>.

Package details

AuthorVencislav 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'.)
MaintainerVencislav Popov <vencislav.popov@gmail.com>
LicenseGPL-2
Version1.0.1
URL https://github.com/venpopov/bmm https://venpopov.github.io/bmm/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bmm")

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bmm documentation built on May 29, 2024, 11:52 a.m.