R

Evaluating informative hypotheses using bain

R
I recently presented on Evaluating informative hypotheses for parameters of a structural equation model using Bayes factors at EARA 2020. This blog post was released in tandem with the conference presentation, to provide a brief hands-on tutorial on how to conduct these analyses yourself. The YouTube video below demonstrates how to evaluate informative hypotheses using bain. If you want to follow along, you can find the full tutorial below. The open access paper detailing these methods is available here (Van Lissa et al.

Using WORCS to create reproducible open science projects

R
This blog post provides a starting point for learning about WORCS: A Workflow for Open Reproducible Code in Science. Below, you will find all relevant information to get you started with writing reproducible open science papers. Presentation A conference presentation about WORCS is available here on YouTube. It very briefly explains the concepts behind a workflow for open science and the scope of the workflow and the accompanying R-package. The preprint paper detailing these methods is available here (Van Lissa et al.