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.

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

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

RStan, the R interface to Stan

Bayesian Data Analysis demos for Python

PyStan, the Python interface to Stan

The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.

Bayesian analysis + tidy data + geoms (R package)

Bayesian Data Analysis demos for R

bayesplot R package for plotting Bayesian models

Materials for teaching R and Stan

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

rstanarm R package for Bayesian applied regression modeling

Bayesian statistics graduate course

Materials from Stan conferences

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

『StanとRでベイズ統計モデリング』のサポートページです.

shinystan R package and ShinyStan GUI

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting