This tutorial should teach you how to create, assess, present and troubleshoot a brm model. All the files you need to complete this tutorial can be downloaded ...

We developed a series of tutorials how to run the brms package. This R-package implements Bayesian multilevel models using Stan. How to get started?

Building a Multilevel Model in BRMS Tutorial: Popularity Data · Step 1: setting up packages · Step 2: Downloading the data · Step 3: Plotting the Data · Step 4: ...

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

2 янв. 2024 г. · This tutorial starts with a theoretical overview of bayesian statistics and the MCMC algorithm. Next, we fit, check, and analyse Bayesian models ...

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

This paper introduces Bayesian multilevel modelling for the specific analysis of speech data, using the brms package developed in R.

This tutorial shows how you can replicate the popularity data multilevel models from the book Multilevel analysis: Techniques and applications, Chapter 2.

provide an accessible and illustrated hands-on tutorial for analysing typical phonetic data. 83. This paper will be structured in two main parts. First, we will ...

Продолжительность: 1:09:07
Опубликовано: 23 апр. 2021 г.