brms : An R Package for Bayesian Multilevel Models Using Stan

• Published in: Journal of statistical software Vol. 80; no. 1; pp. 1 - 28
• Main Author: Bürkner, Paul-Christian
• Format: Journal Article
• Language: English
• Published: Foundation for Open Access Statistics 2017
• Subjects: Bayesian inference; MCMC; multilevel model; ordinal data; Stan

The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions are supported, allowing users to fit - among others - linear, robust linear, binomial, Poisson, survival, ordinal, zero-inflated, hurdle, an...