stan

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

RStan, the R interface to Stan

Bayesian analysis + tidy data + geoms (R package)

bayesplot R package for plotting Bayesian models

rstanarm R package for Bayesian applied regression modeling

『StanとRでベイズ統計モデリング』のサポートページです.

shinystan R package and ShinyStan GUI

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 **Superseded by the models-by-example repo**.

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

Teaching materials for BayesCog at Faculty of Psychology, University of Vienna

CmdStanR: the R interface to CmdStan

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

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

Projection predictive variable selection

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

Bayesian spatial analysis

priorsense: an R package for prior diagnostics and sensitivity

A modular Bayesian framework for real-time infectious disease surveillance. Provides tools for nowcasting, reproduction number estimation, delay estimation, and forecasting from data subject to reporting delays, right-truncation, missing data, and incomplete ascertainment

👓 Functions related to R visualizations

idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).