StanStan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Shinystanshinystan R package and ShinyStan GUI
Stan.jlStan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
Oreilly Intro To Predictive ClvRepo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017
Miscellaneous R CodeCode that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.
ModelselectionTutorial on model assessment, model selection and inference after model selection
Looloo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
GgmcmcGraphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
Turn ClientSTUN & TURN client demo and api with python and C
ProjpredProjection predictive variable selection
MatlabstanMatlab interface to Stan, a package for Bayesian inference
Bayes Vis Paper'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
Ssmodels In StanState space models (dynamic linear models, hidden Markov models) implemented in Stan.
Epinow2Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Cmdstan.jlCmdStan.jl v6 provides an alternative, older Julia wrapper to Stan's `cmdstan` executable.
Covid19modelCode for modelling estimated deaths and cases for COVID19.
Pystan2PyStan, the Python interface to Stan
Brmsbrms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
GpmicrobiomeA novel probabilistic approach to explicitly model overdispersion and sampling zeros in 16S rRNA sequencing data by considering the temporal correlation between nearby time points using Gaussian Processes
RstanRStan, the R interface to Stan
TidybayesBayesian analysis + tidy data + geoms (R package)
MathThe 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.
OrbitA Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Rstanarmrstanarm R package for Bayesian applied regression modeling
Bayesplotbayesplot R package for plotting Bayesian models
Torstenlibrary of C++ functions that support applications of Stan in Pharmacometrics
covidseirBayesian SEIR model to estimate the effects of social-distancing on COVID-19
tsbook『基礎からわかる時系列分析』(技術評論社,2018年)のサポートサイトです。
notebooksCollection of (unfinished) notebooks
cmdstanrCmdStanR: the R interface to CmdStan
stan-vimA Vim plugin for the Stan probabilistic programming language.
lgprR-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.
stan4bartUses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.
ubmsFit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.
stantargetsReproducible Bayesian data analysis pipelines with targets and cmdstanr
stanTuneRThis code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail behavior.
gsoc17-hhmmBayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
walkerBayesian Generalized Linear Models with Time-Varying Coefficients
bayesianBindings for Bayesian TidyModels
covidestimBayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States
stan-distributionsA web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan implementations. Uses d3.js for visualizations.
metaBMABayesian Model Averaging for Random and Fixed Effects Meta-Analysis