bayesian: Bindings for Bayesian TidyModels

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>.

Version: 0.0.6
Depends: brms (≥ 2.15.0), parsnip (≥ 0.1.6), R (≥ 2.10)
Imports: dplyr, purrr, rlang, stats, tibble, utils
Suggests: covr, devtools, future, knitr, recipes, rmarkdown, roxygen2, rstan, spelling, testthat, workflows
Published: 2021-07-12
Author: Hamada S. Badr ORCID iD [aut, cre], Paul-Christian Bürkner [aut]
Maintainer: Hamada S. Badr <badr at jhu.edu>
BugReports: https://github.com/hsbadr/bayesian/issues
License: MIT + file LICENSE
URL: https://hsbadr.github.io/bayesian/, https://github.com/hsbadr/bayesian
NeedsCompilation: no
Language: en-US
Citation: bayesian citation info
Materials: README NEWS
CRAN checks: bayesian results

Downloads:

Reference manual: bayesian.pdf
Vignettes: Bug Reporting
Getting Started
Package source: bayesian_0.0.6.tar.gz
Windows binaries: r-devel: bayesian_0.0.6.zip, r-release: bayesian_0.0.6.zip, r-oldrel: bayesian_0.0.6.zip
macOS binaries: r-release (arm64): bayesian_0.0.5.tgz, r-release (x86_64): bayesian_0.0.6.tgz, r-oldrel: bayesian_0.0.6.tgz
Old sources: bayesian archive

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