Package: bayesian 1.0.1

bayesian: Bindings for Bayesian TidyModels

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>.

Authors:Hamada S. Badr [aut, cre], Paul-Christian Bürkner [aut]

bayesian_1.0.1.tar.gz
bayesian_1.0.1.zip(r-4.7)bayesian_1.0.1.zip(r-4.6)bayesian_1.0.1.zip(r-4.5)
bayesian_1.0.1.tgz(r-4.6-any)bayesian_1.0.1.tgz(r-4.5-any)
bayesian_1.0.1.tar.gz(r-4.7-any)bayesian_1.0.1.tar.gz(r-4.6-any)
bayesian_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bayesian/json (API)
NEWS

# Install 'bayesian' in R:
install.packages('bayesian', repos = c('https://hsbadr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hsbadr/bayesian/issues

Pkgdown/docs site:https://hsbadr.github.io

On CRAN:

Conda:

bayesianbrmsstantidymodels

7.71 score 48 stars 45 scripts 764 downloads 8 exports 78 dependencies

Last updated from:f63b0cede8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK239
source / vignettesOK358
linux-release-x86_64OK232
macos-release-arm64OK215
macos-oldrel-arm64OK264
windows-develOK186
windows-releaseOK199
windows-oldrelOK256
wasm-releaseOK178

Exports:bayesianbayesian_familybayesian_fitbayesian_formulabayesian_predictbayesian_readbayesian_termsbayesian_write

Dependencies:abindbackportsbayesplotBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscpp11descdigestdistributionaldplyrfarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtablehardhatinlineisobandlabelinglatticelifecyclelistenvloomagrittrMatrixmatrixStatsmgcvmvtnormnleqslvnlmenumDerivparallellyparsnippillarpkgbuildpkgconfigplyrposteriorprettyunitsprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7scalessparsevctrsStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Bug Reporting

Hamada S. Badr [email protected]

Rendered fromBugReports.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2021-05-17
Started: 2021-01-07

Get started with bayesian

Paul-Christian Bürkner & Hamada S. Badr

Rendered fromGetStarted.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2022-05-18
Started: 2021-05-16

Readme and manuals

Help Manual

Help pageTopics
General Interface for Bayesian TidyModelsbayesian bayesian_family bayesian_fit bayesian_formula bayesian_predict bayesian_read bayesian_terms bayesian_write update.bayesian