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
- The Bayesplay R package and web app
Dr Lincoln Colling developed the Bayesplay R package and web app 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 Rouder, Speckman, Sun, and Morey (2008) and Informed Bayesian t-tests advocated by Gronau, Ly, & Wagenmarkers (2020). 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 adventr and discovr packages. These packages also serve as companions to Prof Field’s statistics textbooks. Adventr is the companion to An Adventure in Statistics: The Reality Enigma and discovr is a companion to the forthcoming Discovering Statistics Using R and R Studio (2nd edition).
- R package and RMarkdown thesis template
Dr Danielle Evans has released an R package for Sussex University PhD students interested in writing their thesis in RMarkdown, with associated template.
- Introduction to version control using Git
Dr Milan Valášek put together a tutorial 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.