Summary
We have developed the DES RAP Book, a practical guide that teaches users how to build reproducible discrete-event simulation models (DES) that fit into a reproducible analytical pipeline (RAP), with tips that benefit all types of models and analysis.
Key features include:
Dual Implementation: Every concept is demonstrated with working code examples in both Python (SimPy) and R (simmer), allowing you to learn in your preferred language.
Example repositories: The book includes practical case studies like M/M/s queueing models and a stroke capacity planning model, implementing all the book recommendations and available as separate GitHub repositories.
Built on Research: Follows the STARS reproducibility recommendations and the NHS RAP Community of Practice Levels of RAP.
Interactive Learning: Structured as a Quarto website with searchable content, code examples you can copy, and clear explanations suitable for beginners through advanced users.
Websites and GitHub repositories
DES RAP Book: 
Python M/M/s queueing model: 
R M/M/s queueing model: 
Python stroke model: 
R stroke model: 
Preview e-book
Publications
This page was written by Amy Heather and reflects her interpretation of this work, which may not fully represent the views of all project authors or affiliated institutions.