DESCRIPTION

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: 7.3.2
Roxygen: list(markdown = TRUE)
Collate:
    'bayesian_init.R'
    'bayesian_load.R'
    'bayesian_make.R'
    'bayesian.R'
LazyLoad: yes
Language: en-US