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.
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Dec 11, 2024 - C++
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stan
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A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
python machine-learning time-series orbit regression pytorch forecast bayesian-methods forecasting probabilistic-programming bayesian stan arima regression-models probabilistic bayesian-statistics pyro changepoint pystan exponential-smoothing
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Jul 10, 2024 - Python
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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Dec 5, 2024 - R
RStan, the R interface to Stan
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Dec 1, 2024 - R
Bayesian Data Analysis demos for Python
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Sep 11, 2023 - Jupyter Notebook
PyStan, the Python interface to Stan
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Feb 17, 2021 - Python
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 modeling, linear algebra, and equation solving.
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Dec 11, 2024 - C++
Bayesian analysis + tidy data + geoms (R package)
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Sep 17, 2024 - R
Bayesian Data Analysis demos for R
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Oct 11, 2024 - HTML
bayesplot R package for plotting Bayesian models
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Aug 5, 2024 - R
rstanarm R package for Bayesian applied regression modeling
r bayesian-methods rstan bayesian multilevel-models bayesian-inference stan r-package rstanarm bayesian-data-analysis bayesian-statistics statistical-modeling
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Jun 25, 2024 - R
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
stan pystan marketing-mix-modeling bayesian-regression constrained-regression roas media-mix-modeling
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May 28, 2022 - Jupyter Notebook
Bayesian statistics graduate course
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Nov 1, 2024 - Typst
shinystan R package and ShinyStan GUI
r bayesian-methods bayesian bayesian-inference stan r-package shiny-apps statistical-graphics mcmc bayesian-data-analysis bayesian-statistics
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Aug 4, 2022 - R
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**.
python machine-learning r julia zip matlab irt pca survival-analysis bayesian stan em mixture-model factor-analysis gaussian-processes jags mixed-models additive-models ordinal-regression probit
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Nov 25, 2020 - R
NATS Streaming Operator
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Feb 14, 2024 - Go
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