stan topic

rstanarm R package for Bayesian applied regression modeling

stan-dev

shinystan R package and ShinyStan GUI

stan-dev

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

uber

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 **Superseded by the models-by-example repo**.

m-clark

PyStan, the Python interface to Stan

stan-dev

Inference case studies in knitr

betanalpha

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 modelin...

stan-dev

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

luisdamiano

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

SciML

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

sibylhe