RStan, the R interface to Stan

bayesplot R package for plotting Bayesian models

shinystan R package and ShinyStan GUI

The posterior R package

CmdStanR: the R interface to CmdStan

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

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

Build dirichletprocess objects for data analysis

Full Bayesian Inference for Hidden Markov Models

An R Package for Hierarchical Bayesian Analysis of North American Breeding Bird Survey Data

Functions for Bayesian inference of vector autoregressive and vector error correction models

BayesVL package for Bayesian statistical analyses in R

Established Bayesian models and leveraged historical data to predict home and away teams’ performance. Achieved over 80% prediction accuracy of winning percentage and 53% of the goal prediction.

A friendly MCMC framework

Python package to fit single and binary photometric SEDs. Automatically pull archive photometry from the main surveys and use Bayesian inference to derive atmospheric parameters.

Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations

Markov chain Monte Carlo Standard Errors

An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)

Framework for conducting Bayesian analyses

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