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stan-dev/rstan

RStan, the R interface to Stan

stanmcmcbayesian-inferencebayesian-data-analysisbayesian-statisticsrr-package

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README

RStan

RStan is the R interface to Stan.

Quick links

mc-stan.org/rstan (online RStan documentation, vignettes)
Stan documentation (language manual, case studies, and more)
Ask a question (Stan Forums on Discourse)
Open an issue (GitHub issues for bug reports, feature requests)

Getting Started

For installation instructions and other tips on getting started with RStan see

RStan Getting Started

Several Stan users have also contributed translations of the RStan Getting Started page:

Source Repository

RStan's source code repository is hosted here on GitHub. Stan's source repository is defined as a submodule. See how to work with stan submodule in rstan repo.

Licensing

RStan is licensed under GPLv3. The Stan code packaged in RStan is licensed under new BSD.

All contributions must follow the Stan AI Contribution Policy.

関連リポジトリ

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

C++BSD 3-Clause "New" or "Revised" Licensestanbayesian-inference

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

PythonPyPIOtherpythonforecasting

orbit-ml.readthedocs.io/en/stable/

paul-buerkner/brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

RGNU General Public License v2.0brmsstan

paulbuerkner.com/brms/

avehtari/BDA_py_demos

Bayesian Data Analysis demos for Python

Jupyter NotebookGNU General Public License v3.0pythonbayesian-data-analysis

avehtari.github.io/BDA_course_Aalto/demos.html