Software and other tools
Explore our tools for researchers and statisticians.
Our team is active in developing statistical software and support resources to equip both the beginner and experienced user to perform Bayesian and other analyses.
- Bayes factor calculator
Prof Zoltan Dienes' online
- The Bayesplay R package and web app
developed the and which allow you to compute different types of Bayes factors. Using Bayesplay, it is possible to compute Bayes factors following the approach advocated by Prof Dienes, as well as the Default Bayesian t-tests advocated by and Informed Bayesian t-tests advocated by . Analyses can be performed directly in R using the Bayesplay package or using the web app. The Bayesplay package is also accessible through the JASP statistics package.
- Adventr and discovr tutorials
Prof Andy Field has released two R packages that contain interactive tutorials for learning about statistics and R - the and packages. These packages also serve as companions to Prof Field’s statistics textbooks. Adventr is the companion to and discovr is a companion to the forthcoming
- R package and RMarkdown thesis template
Dr Danielle Evans has released an for Βι¶ΉΣ³» University PhD students interested in writing their thesis in RMarkdown, with associated .
- Introduction to version control using Git
Dr Milan Valášek put together a on how to set up and work with Git.
- Glossary of Open Science terms
Dr Jenny Terry has co-authored a community-sourced glossary of Open Science terms, which provides a useful guide to help get you started.