|
|
|
Title
|
|
|
|
Bayesian multilevel models with brms : a demo with TIMSS2019 data
| |
|
Author
|
|
|
|
| |
|
Abstract
|
|
|
|
| Bayesian statistics is on the rise. There is no doubt about that. But the learning curve is quite steep for many researchers. In this post, I give that extra push as you climb that mountain on your route to learning Bayesian statistics. A short demo on how to handle the super package brms to estimate some standard multilevel models can hopefully be inspiring and reassuring. While you’re on the road you may also learn some neat plotting skills! |
| |
|
Language
|
|
|
|
English
| |
|
Source (journal)
|
|
|
|
svendemaeyer.netlify.app
| |
|
Publication
|
|
|
|
2021
| |
|
Volume/pages
|
|
|
|
(2021.02.22)
| |
|
Medium
|
|
|
|
E-only publicatie
| |
|
|
Faculty/Department
|
|
|
|
| |
|
Research group
|
|
|
|
|
Project info
|
|
|
|
BOF Sabbatical 2020-2021 - Sven De Maeyer.
|
Publication type
|
|
|
|
| | |
|
Subject
|
|
|
|
| | |
|
Affiliation
|
|
|
|
Publications with a UAntwerp address
| |
|
|
|
|
Identifier
|
|
| |
|
|
|
Creation
|
|
| |
01.03.2021
|
|
|
Last edited
|
|
| |
07.10.2022
|
|
|
To cite this reference
|
|
|
|
| |
|