Package: bayesian
Type: Package
Version: 1.0.1
Title: Bindings for Bayesian TidyModels
Authors@R: 
    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")))
Description: Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels'
    via 'bayesian' <doi:10.5281/zenodo.4426836>. '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>.
License: MIT + file LICENSE
URL: https://hsbadr.github.io/bayesian/,
        https://github.com/hsbadr/bayesian
BugReports: https://github.com/hsbadr/bayesian/issues
Depends: brms (>= 2.21.0), parsnip (>= 1.2.1), R (>= 4.1.0)
Imports: dplyr, purrr, rlang, stats, tibble, utils
Suggests: covr, devtools, future, knitr, recipes, rmarkdown, roxygen2,
        rstan, spelling, testthat, workflows
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.1
Collate: 'bayesian_init.R' 'bayesian_load.R' 'bayesian_make.R'
        'bayesian.R'
LazyLoad: yes
Language: en-US
NeedsCompilation: no
Packaged: 2024-04-28 15:42:01 UTC; runner
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>),
  Paul-Christian Bürkner [aut]
Maintainer: Hamada S. Badr <badr@jhu.edu>
Repository: CRAN
Date/Publication: 2024-04-28 21:00:03 UTC
Built: R 4.6.0; ; 2026-04-30 07:36:23 UTC; unix
