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>.
| Version: | 1.2.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | brms (≥ 2.21.0),crayon,fs,glue,matrixStats, methods, parallel, stats,withr |
| Suggests: | bookdown, cmdstanr (≥ 0.7.0),cowplot,dplyr,fansi,ggplot2,ggthemes,knitr,magrittr,mixtur,remotes,rmarkdown,stringr,testthat (≥ 3.0.0),tidybayes,tidyr,usethis,waldo, gghalves |
| Published: | 2025-07-24 |
| DOI: | 10.32614/CRAN.package.bmm |
| Author: | Vencislav Popov [aut, cre, cph], Gidon T. Frischkorn [aut, cph], Chenyu Li [ctb], Paul-Christian Bürkner [cph] (Creator of 'brms', code portions of which are used in 'bmm'.) |
| Maintainer: | Vencislav Popov <vencislav.popov at gmail.com> |
| BugReports: | https://github.com/venpopov/bmm/issues |
| License: | GPL-2 |
| URL: | https://github.com/venpopov/bmm,https://venpopov.github.io/bmm/ |
| NeedsCompilation: | no |
| Additional_repositories: | https://stan-dev.r-universe.dev |
| Citation: | bmm citation info |
| Materials: | README,NEWS |
| CRAN checks: | bmm results |