{"Package":"bayesmodels","Title":"The 'Tidymodels' Extension for Bayesian Models","Version":"0.1.1","Authors@R":"c(\nperson(\"Alberto\", \"Almuia\", email = \"albertogonzalezalmuinha@gmail.com\", role = c(\"aut\", \"cre\"))\n)","Description":"Bayesian framework for use with the 'tidymodels' ecosystem. Includes the following models: Sarima, Garch,\nRandom walk (naive), Additive Linear State Space Models, Stochastic Volatility Models from 'bayesforecast' package,\nAdaptive Splines Surfaces from 'BASS' package and ETS from 'Rlgt' package.","URL":"https://github.com/AlbertoAlmuinha/bayesmodels","BugReports":"https://github.com/AlbertoAlmuinha/bayesmodels/issues","License":"MIT + file LICENSE","Encoding":"UTF-8","Depends":"R (>= 4.0.0), parsnip, bayesforecast, bsts","Imports":"rlang (>= 0.1.2), brms, BASS, Rlgt, rstan, magrittr, purrr,\ndplyr, tibble, dials, workflows, modeltime, timetk, cli,\ncrayon, rstudioapi","Suggests":"tidymodels, tidyverse, lubridate, knitr, rmarkdown, roxygen2,\ntestthat (>= 3.0.0), covr","RoxygenNote":"7.1.1","VignetteBuilder":"knitr","Config/testthat/edition":"3","NeedsCompilation":"no","Packaged":"2021-06-28 21:04:33 UTC; Usuario","Author":"Alberto Almuia [aut, cre]","Maintainer":"Alberto Almuia ","Repository":"CRAN","Date/Publication":"2021-06-28 21:30:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/bayesmodels_0.1.1.tar.gz","jsonAuthors":[{"name":"Alberto Almuia","email":"albertogonzalezalmuinha@gmail.com","maintainer":true}],"readme":"\n\n\n# bayesmodels\n\n

\n\n\n\n[![CRAN\nstatus](https://www.r-pkg.org/badges/version/bayesmodels)](https://CRAN.R-project.org/package=bayesmodels)\n[![Total\nDownloads](http://cranlogs.r-pkg.org/badges/grand-total/bayesmodels?color=brightgreen)](https://cran.r-project.org/package=bayesmodels)\n![](http://cranlogs.r-pkg.org/badges/bayesmodels?color=brightgreen)\n[![codecov](https://codecov.io/gh/AlbertoAlmuinha/bayesmodels/branch/master/graph/badge.svg?token=0OXB8WLRJX)](https://codecov.io/gh/AlbertoAlmuinha/bayesmodels)\n[![Lifecycle:maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://lifecycle.r-lib.org/articles/stages.html#maturing)\n[![R-CMD-check](https://github.com/AlbertoAlmuinha/bayesmodels/workflows/R-CMD-check/badge.svg)](https://github.com/AlbertoAlmuinha/bayesmodels/actions)\n\n\n> A parsnip backend for `Bayesian` models in the `tidymodels` framework.\n\n## Tutorials\n\n- [**Bayesmodels and Modeltime\n Integration**](https://albertoalmuinha.github.io/bayesmodels/articles/modeltime-integration.html):\n Learn how to integrate bayesian models with the modeltime ecosystem.\n\n## Installation\n\nCRAN version\n\n``` r\ninstall.packages(\"bayesmodels\")\n```\n\nDevelopment version:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"AlbertoAlmuinha/bayesmodels\")\n```\n\n## Why Bayesmodels?\n\n> Bayesmodels unlocks multiple bayesian models in one framework.In\n> addition, it allows you to integrate these models with the Modeltime\n> and the Tidymodels ecosystems.\n\n

\n\nIn a single framework you will be able to find:\n\n- **Sarima**: `bayesmodels` connects to the `bayesforecast` package.\n\n- **Garch**: `bayesmodels` connects to the `bayesforecast` package.\n\n- **Random Walk (Naive)**: `bayesmodels` connects to the\n `bayesforecast` package.\n\n- **State Space Model**: `bayesmodels` connects to the `bayesforecast`\n and `bsts` packages.\n\n- **Stochastic Volatility Model**: `bayesmodels` connects to the\n `bayesforecast` package.\n\n- **Generalized Additive Models (GAMS)**: `bayesmodels` connects to\n the `brms` package.\n\n- **Adaptive Splines Surface**: `bayesmodels` connects to the `BASS`\n package.\n\n- **Exponential Smoothing**: `bayesmodels` connects to the `Rglt`\n package.","jobInfo":{"package":"bayesmodels","version":"0.1.1","parsingStatus":"success","parserVersion":1,"parsedAt":"2021-06-29T00:29:48+0000"}}

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