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.

Bayesian Data Analysis course at Aalto

RStan, the R interface to Stan

Bayesian Data Analysis demos for Python

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Bayesian analysis + tidy data + geoms (R package)

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

How to do Bayesian statistical modelling using numpy and PyMC3

Bayesian Data Analysis demos for R

A collection of Bayesian data analysis recipes using PyMC3

rstanarm R package for Bayesian applied regression modeling

High-performance Bayesian Data Analysis on the GPU in Clojure

shinystan R package and ShinyStan GUI

Statistical Rethinking with PyTorch and Pyro

Exploring and eliciting probability distributions

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth

🚫 ↩️ A document that introduces Bayesian data analysis.