39 Open Source Bayesian Data Analysis Software Projects
Free and open source bayesian data analysis code projects including engines, APIs, generators, and tools.
Stan Dev Stan 1927 ⭐
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.
Statistical Rethinking With Python And Pymc3 700 ⭐
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Bayesian Stats Modelling Tutorial 422 ⭐
How to do Bayesian statistical modelling using numpy and PyMC3
Loo 95 ⭐
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Ggmcmc 95 ⭐
Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
Pymc Example Project 90 ⭐
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Bayesian Basics 48 ⭐
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
Bayes Vis Paper 48 ⭐
'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
Statistical Rethinking Solutions 46 ⭐
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
Dynamichmcexamples.jl 28 ⭐
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Bcea 22 ⭐
Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results
Rhat_ess 19 ⭐
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Logdensityproblems.jl 17 ⭐
A common framework for implementing and using log densities for inference.
Kissabc.jl 17 ⭐
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation