RStan
rstan is the R interface to Stan, a probabilistic programming language for Bayesian inference. It provides bindings that let users write Bayesian models in Stan’s modeling language, compile them, and run Markov chain Monte Carlo (MCMC) sampling from within R. Stan itself uses a high-performance C++ backend for efficient computation and supports algorithms such as Hamiltonian Monte Carlo and the No-U-Turn Sampler.
The typical workflow in rstan begins with defining a Stan model in the Stan language, either in
Key features of rstan include support for multiple chains and parallel computation, automatic differentiation for model
rstan is widely used as a foundation for Bayesian modeling in R, and it serves as the