Members/Stan

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Website

http://mc-stan.org/

Social Media

Twitter: @mcmc_stan

Description

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.

Languages

Stan, C++, Shell, R Language

Team

Stan - Support

Leadership Team:

All financial decisions related to NumFOCUS are made by Stan’s Leadership Body for NumFOCUS:

  • Michael Betancourt (Columbia University)
  • Tamara Broderick (Massachusetts Institute of Technology)
  • Bob Carpenter (Columbia University)
  • Andrew Gelman (Columbia University)
  • Elizabeth Wolkovich (Harvard University)

Stan - Development Team

Governance

Code of Conduct

Code Repository

GitHub: Stan Organization

Build Tools

Packages

Releases

Various, see Stan - Interfaces

Issue Tracker

Stan - Issues

Various, all hosted on GitHub.

Documentation

Contributing:

Community

Discussion

Events

Stan - Events

License

Combo of BSD-3-Clause, GPLv3: stan/licenses at develop · stan-dev/stan

Citing

Stan - Citations

History

Other

Stan - Shop