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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 Data Analysis demos for R
rstanarm R package for Bayesian applied regression modeling
Materials for teaching R and tidyverse
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Bayesian statistics graduate course
Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
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 **Superseded by the models-by-example repo**.
NATS Streaming Operator