brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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Updated
Apr 12, 2025 - R
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
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 **Superseded by the models-by-example repo**.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
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
CmdStanR: the R interface to CmdStan
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Projection predictive variable selection
Bayesian spatial analysis
👓 Functions related to R visualizations
Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
priorsense: an R package for prior diagnostics and sensitivity
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).
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