RStan, the R interface to Stan
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Updated
Dec 1, 2024 - R
RStan, the R interface to Stan
rstanarm R package for Bayesian applied regression modeling
Tidy data frames and expressions with statistical summaries 📜
shinystan R package and ShinyStan GUI
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
An R package for Bayesian structural equation modeling
Bayesian spatial analysis
📦 R package for Supplemental Materials for the Bayes Rules! Book
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
Build dirichletprocess objects for data analysis
Tools for Developing R Packages Interfacing with Stan
R package for Bayesian meta-analysis models, using Stan
📊 🌐 🧑🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto
Material for a Bayesian statistics workshop
Personal website
An example project to validate a Stan model in a targets pipeline
Pre-compiled CmdStan models in R packages
An introduction to hierarchical Bayesian modelling with R, JAGS and STAN
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