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RStan: R Interface for Bayesian Inference by Alvaro Limber Chirino Gutierrez is a document available to read on EtoBox.

What is RStan: R Interface for Bayesian Inference about?

The rstan package provides an R interface to Stan, which is an open-source package for Bayesian inference using Hamiltonian Monte Carlo sampling methods. The rstan package allows users to fit Stan models from R and extract parameter samples from the fitted models. Key functions include stan() for model fitting, and extract() for accessing posterior samples from a fitted model. The package supports creating array, matrix, and data.frame objects from the samples in a stanfit object.

Author

Alvaro Limber Chirino Gutierrez

Language

EN