Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels'. 'tidymodels' is a collection of packages for machine learning, developed by 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: | 0.0.2 |
Depends: | brms (≥ 2.14.4), parsnip (≥ 0.1.4), R (≥ 2.10) |
Imports: | dplyr, purrr, rlang, stats, tibble, utils |
Suggests: | covr, devtools, knitr, rmarkdown, roxygen2, spelling, testthat |
Published: | 2021-01-14 |
Author: | Hamada S. Badr |
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 |
Materials: | README NEWS |
CRAN checks: | bayesian results |
Reference manual: | bayesian.pdf |
Vignettes: |
Bug Reporting |
Package source: | bayesian_0.0.2.tar.gz |
Windows binaries: | r-devel: bayesian_0.0.2.zip, r-release: bayesian_0.0.2.zip, r-oldrel: bayesian_0.0.2.zip |
macOS binaries: | r-release: bayesian_0.0.2.tgz, r-oldrel: bayesian_0.0.2.tgz |
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