brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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Updated
Dec 17, 2024 - R
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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)
Projection predictive variable selection
Parallelizable Bayesian Optimization in R
Bayesian spatial analysis
Companion package for the Coursera Statistics with R specialization
Build dirichletprocess objects for data analysis
The material for a course on Statistics for ecologists I teach every year to Master students.
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
babette is an R package to work with BEAST2
BAS R package for Bayesian Model Averaging and Variable Selection
Bayesian Estimation of Structural Vector Autoregressive Models
Data-driven Network-based Bayesian Inference of Drivers
Bayesian estimation of the finishing skill of football players
Full Bayesian Inference for Hidden Markov Models
Material for a Bayesian statistics workshop
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