c(person(given = "Hamada S.",
family = "Badr",
email = "badr@jhu.edu",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-9808-2344")),
person(given = "Paul-Christian",
family = "Bürkner",
email = "paul.buerkner@gmail.com",
role = c("aut")))
covr, devtools, future, knitr, recipes, rmarkdown, roxygen2,
rstan, spelling, testthat, workflows
Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>),
Paul-Christian Bürkner [aut]

Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels'
via 'bayesian' <doi:10.5281/zenodo.4882780>. '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>.

Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels'
via 'bayesian' <doi:10.5281/zenodo.5091194>. '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>.

Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels'
via 'bayesian' <doi:10.5281/zenodo.5539785>. '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>.

Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels'
via 'bayesian' <doi:10.5281/zenodo.5884879>. '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>.