29 авг. 2017 г. · The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan.

Abstract. The brms package implements Bayesian multilevel models in R using the probabilis- tic programming language Stan. A wide range of distributions and ...

They allow the modeling of data measured on different levels at the same time -- for instance data of students nested within classes and schools -- thus taking ...

Downloadable! The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions ...

The brms package provides an interface to fit Bayesian generalized (non-)linear multivariate multilevel models using Stan.

29 авг. 2017 г. · The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan, allowing users to fit linear, ...

The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link ...

The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link ...

Bürkner, P.-C. (2017) Brms An R Package for Bayesian Multilevel Models Using Stan. Journal of Statistical Software, 80, 1-28.

Brkner, P. (2017) Brms An R Package for Bayesian Multilevel Models Using Stan. Journal of Statistical Software, 80, 1-28.