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.
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Nov 10, 2026 - C++
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A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
python machine-learning time-series orbit regression pytorch forecast bayesian-methods forecasting probabilistic-programming bayesian stan arima regression-models probabilistic bayesian-statistics pyro changepoint pystan exponential-smoothing
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
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
stan pystan marketing-mix-modeling bayesian-regression constrained-regression roas media-mix-modeling
rstanarm R package for Bayesian applied regression modeling
r bayesian-methods rstan bayesian multilevel-models bayesian-inference stan r-package rstanarm bayesian-data-analysis bayesian-statistics statistical-modeling
Bayesian statistics graduate course
shinystan R package and ShinyStan GUI
r bayesian-methods bayesian bayesian-inference stan r-package shiny-apps statistical-graphics mcmc bayesian-data-analysis bayesian-statistics
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 **Superseded by the models-by-example repo**.
python machine-learning r julia zip matlab irt pca survival-analysis bayesian stan em mixture-model factor-analysis gaussian-processes jags mixed-models additive-models ordinal-regression probit
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
timeseries forecasting rstats multilevel-models stan bayesian-statistics generalized-additive-models time-series-analysis ecological-modelling generalised-additive-models vector-autoregression multivariate-timeseries gaussian-process vectorautoregression dynamic-factor-models joint-species-distribution-modelling
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