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Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' <doi:10.5281/zenodo.6654386>. 'tidymodels' is a collection of packages for machine learning; see Kuhn and Wickham (2020) <https://www.tidymodels.org>). The technical details of 'brms' and 'Stan' are described in Bürkner (2017) <doi:10.18637/jss.v080.i01>, Bürkner (2018) <doi:10.32614/RJ-2018-017>, and Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Package details |
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Author | Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Paul-Christian Bürkner [aut] |
Maintainer | Hamada S. Badr <badr@jhu.edu> |
License | MIT + file LICENSE |
Version | 0.0.9 |
URL | https://hsbadr.github.io/bayesian/ https://github.com/hsbadr/bayesian |
Package repository | View on CRAN |
Installation |
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