## 2024

Teaching Myself: Bayesian Path Modeling in blavaan and brms

In previous blog posts, I looked into Bayesian linear regression - with a single predictor, multiple predictors, and a single and multiple outcome variables. blavaan and brms also allow to specify path models (i.e., structural equation models without latent variables) that allow to investigate more complex relationships between variables.

Teaching Myself: Bayesian Multiple and Multivariate Linear Regression

In the last week, I ran a Bayesian Linear Regression with a single predictor and outcome variable. Usually, we investigate the effects of multiple predictors or control for confounding variables when the goal is to make an inference about and not to merely describe a relationship. In many cases, we also have more than one outcome variable. So let's take the next step and run a multiple linear and a multivariate regression in brms!

Teaching Myself: Bayesian Linear Regression

As many psychologists, I was trained in frequentist regression. Here, I want to familiarise myself with Bayesian linear regression.

The blog post listing is based on the website source of Andrew Heiss, and the tutorial and website of Marvin Schmitt, both of whom have created incredible resources under the CC-BY-SA 4.0 license. Thank you!