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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.

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

RStan, the R interface to Stan

Bda_py_demos ⭐ 851

Bayesian Data Analysis demos for Python

Bda_r_demos ⭐ 530

Bayesian Data Analysis demos for R

Rainier ⭐ 418

Bayesian inference in Scala.

Rstanarm ⭐ 356

rstanarm R package for Bayesian applied regression modeling

Shinystan ⭐ 181

shinystan R package and ShinyStan GUI

Cmdstan ⭐ 175

CmdStan, the command line interface to Stan

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Posteriordb ⭐ 122

Database with posteriors of interest for Bayesian inference

Diffeqbayes.jl ⭐ 120

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Glmm In Python ⭐ 114

Generalized linear mixed-effect model in Python

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

Projpred ⭐ 104

Projection predictive variable selection

Rexamples ⭐ 103

worked R examples

Bayesian Basics ⭐ 61

🚫 ↩️ A document that introduces Bayesian data analysis.

Matlabstan ⭐ 54

Matlab interface to Stan, a package for Bayesian inference

Stanマニュアルの日本語への翻訳プロジェクト

Bayesian spatial analysis

Bda_m_demos ⭐ 42

Bayesian Data Analysis demos for Matlab/Octave

Data Analysis In Action ⭐ 41

📖 R 语言数据分析实战（写作中） Data Analysis in Action Using R

Noisy Networks Measurements ⭐ 35

Noisy network measurement with stan

Bayeshmm ⭐ 26

Full Bayesian Inference for Hidden Markov Models

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

R-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.

Scikit Stan ⭐ 24

A high-level Bayesian analysis API written in Python

Embracinguncertainty ⭐ 24

Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"

Psci 3300 Political Science Research ⭐ 23

Course Content for PSCI 3300 Political Science Research Methods

Mcmcdiagnostics.jl ⭐ 22

Markov Chain Monte Carlo convergence diagnostics in Julia

Turingbnpbenchmarks ⭐ 22

Benchmarks of Bayesian Nonparametric models in Turing and other PPLs

Bayesian Inferential Regression for Differential Microbiome Analysis

Dynamite ⭐ 17

Bayesian Inference of Complex Panel Data

Bayesforecast ⭐ 17

Automatic forecasting and Bayesian modeling for time series with Stan

Scr Stan ⭐ 11

Spatial capture-recapture models in Stan

Clj Stan ⭐ 11

A library to interface with STAN.

Probablytensorflow ⭐ 9

A tutorial on Bayesian Inference with Tensorflow Probability

Stancon2020 ⭐ 8

Code for the talk "Approximate Bayesian inference for latent Gaussian models in Stan"

Complex Coinfection Inference ⭐ 8

Bayesian inference of effective contagion models from population level data, with STAN

Materials for BioC-2016 workshop entitled "Introduction to Bayesian Inference using Stan with Applications to Cancer Genomics"

Shinybrms ⭐ 7

An R package providing a GUI ('shiny' app) for the R package 'brms'.

Bayesian Statistics Project ⭐ 7

Project for the Bayesian Statistics exam at University of Trieste

Undecided Voters Us Pres Elections ⭐ 6

Data and code for "Polling bias and undecided voter allocations: US Presidential elections, 2004 - 2016"

Probabilistic outlier identification for bulk RNA sequencing data

Uci_covid_modeling ⭐ 6

Uhecr_model ⭐ 4

Impact of using the UHECR arrival energies to constrain source associations

Cmd_stan_rb ⭐ 4

Ruby interface to Stan for Bayesian Inference from Ruby environments

Stan Cmdstanr Docker ⭐ 3

A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling

Prior Sensitivity ⭐ 3

A test of how informative priors can be

Importance sampling correction approach for faster inference for exponential family state space models

Sklearn Glmm ⭐ 3

scikit-learn wrapper for generalized linear mixed model methods in R

Binarystars ⭐ 2

An efficient Python implementation for Bayesian inference in binary stars based on Stan.

Pcfactorstan ⭐ 2

Stan Models for the Paired Comparison Factor Model

Modelo Epidemiologico Sc ⭐ 2

Bayesian epidemiological model, with a focus on the state of Santa Catarina and its micro and macroregions. https://arxiv.org/abs/2104.01133

Autodiff Experiments ⭐ 2

automatic/analytical differentiation benchmark

A time-delayed light curve simulation code for GRB location triangulation via random Fourier features.

Sv Comparison ⭐ 2

Comparison of different implementations of the same stochastic volatility model (stochvol, JAGS, Stan)

Statistical_rethinking2 ⭐ 1

Notebooks (mostly R but some PyMC3) covering Prof Richard McElreath's Statistical Rethinking 2 book (draft version up to 26th Sept 2019) and Homeworks from his winter 2019 lecture course

Bayesian AMHG + Manning estimation using R

Slashdot Ai Hype ⭐ 1

Short exploration of the rise (and fall) of hype-laden buzzwords announcing the impending domination of the world by sentient computers

Hierarchical Bayesian Aldrich-McKelvey Scaling in R via Stan

Stan Docker ⭐ 1

A Docker image to run Stan, rstanarm, and brms for Bayesian statistical modelling

Representation Support Paper ⭐ 1

Repository for "From Seeing to Believing? How Female Representation Shapes Support for Democracy"

Brb_bayes_course ⭐ 1

Essentials of Bayesian modeling, inference, and computation

An R package for Bayesian analysis of hybrid zones

Stan Cmdstanr Gpu Docker ⭐ 1

A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.

Ucl Soda Cpd Rstan ⭐ 1

Introduction to Bayesian Inference & Modelling

Stan Monorepo ⭐ 1

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