bayesmodels: The 'Tidymodels' Extension for Bayesian Models

Bayesian framework for use with the 'tidymodels' ecosystem. Includes the following models: Sarima, Garch, Random walk (naive), Additive Linear State Space Models, Stochastic Volatily Models from 'bayesforecast' package, Adaptive Splines Surfaces from 'BASS' package and ETS from 'Rlgt' package.

Version: 0.1.0
Depends: R (≥ 4.0.0), parsnip, bayesforecast, bsts
Imports: rlang (≥ 0.1.2), brms, BASS, StanHeaders, Rlgt, rstan, magrittr, purrr, dplyr, stringr, tibble, tidyr, dials, rsample, workflows, modeltime, timetk
Suggests: tidymodels, tidyverse, lubridate, knitr, rmarkdown, roxygen2, testthat (≥ 3.0.0), covr
Published: 2021-05-12
Author: Alberto Almuiña [aut, cre]
Maintainer: Alberto Almuiña <albertogonzalezalmuinha at gmail.com>
BugReports: https://github.com/AlbertoAlmuinha/bayesmodels/issues
License: MIT + file LICENSE
URL: https://github.com/AlbertoAlmuinha/bayesmodels
NeedsCompilation: no
Materials: README NEWS
CRAN checks: bayesmodels results

Downloads:

Reference manual: bayesmodels.pdf
Vignettes: Modeltime Integration
Package source: bayesmodels_0.1.0.tar.gz
Windows binaries: r-devel: bayesmodels_0.1.0.zip, r-release: bayesmodels_0.1.0.zip, r-oldrel: bayesmodels_0.1.0.zip
macOS binaries: r-release (arm64): bayesmodels_0.1.0.tgz, r-release (x86_64): bayesmodels_0.1.0.tgz, r-oldrel: bayesmodels_0.1.0.tgz

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