Stan

Stan

StanCon Cambridge UK, August 20-23, 2019

StanCon 2019 is open for registration. Two days of tutorials followed by two days of talks, open discussions and learning. Registration prices go up 50% May 15. Scholarship deadline is May 1, tutorial deadline April 10, paper deadline April 30, posters August 15. Register and more information here.

About Stan

Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.

Users specify log density functions in Stan’s probabilistic programming language and get:

  • full Bayesian statistical inference with MCMC sampling (NUTS, HMC)

  • approximate Bayesian inference with variational inference (ADVI)

  • penalized maximum likelihood estimation with optimization (L-BFGS)

Stan’s math library provides differentiable probability functions & linear algebra (C++ autodiff). Additional R packages provide expression-based linear modeling, posterior visualization, and leave-one-out cross-validation.

Get Started

Stan interfaces with the most popular data analysis languages (R, Python, shell, MATLAB, Julia, Stata) and runs on all major platforms (Linux, Mac, Windows).

To get started using Stan begin with the Users page or you can use Stan without any additional configuration via RStudio Cloud

Open Code & Reproducible Science

Stan is freedom-respecting, open-source software (new BSD core, some interfaces GPLv3).  Stan is associated with NumFOCUS, a 501(c)(3) nonprofit supporting open code and reproducible science, through which you can help support Stan.