A surface language for programming Stan models using python syntax
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Updated
Jan 11, 2019 - Python
A surface language for programming Stan models using python syntax
Pre-compiled CmdStan models in R packages
A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling
A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.
"Probabilistic Programming & Bayesian Methods for Hackers" book ported to Stan (python)
Dynamic measurement models to estimate latent vote from noisy polling sources
A Dask powered HPC/cloud friendly interface for BridgeStan, CmdStanPy, and PyStan
Workshop on pipeline development and model deployment onto Kubernetes via Docker using R.
R package to fit EXNEX models with Stan
Presentation on targets at the New York Open Statistical Programming Meetup
This repository has been merged into https://github.com/onnela-lab/gptools/.
Docker-Compose files for creating an environment where CmdStanPy (or PyStan2) works
Supplementary material for "Localized end-of-outbreak determination for coronavirus disease 2019 (COVID-19): examples from clusters in Japan"
PowerShell module to use Stan nicely in PowerShell
To associate your repository with the cmdstan topic, visit your repo's landing page and select "manage topics."