https://github.com/pythonhealthdatascience/des_rap_book

Reproducible discrete event simulation in Python and R
https://github.com/pythonhealthdatascience/des_rap_book

Last synced: 7 months ago
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Reproducible discrete event simulation in Python and R

• Host: GitHub
• URL: https://github.com/pythonhealthdatascience/des_rap_book
• Owner: pythonhealthdatascience
• License: mit
• Created: 2025-04-10T08:47:02.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2025-05-01T14:45:52.000Z (8 months ago)
• Last Synced: 2025-05-01T15:40:20.923Z (8 months ago)
• Language: CSS
• Homepage: https://pythonhealthdatascience.github.io/des_rap_book/
• Size: 6.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          


  

  


  Reproducible Discrete-Event Simulation in Python and R

  






  Step-by-step guide for building simulation models as part of a reproducible analytical pipeline (RAP).





    

    

    



🚧 🔶 **Work in progress!** 🔶 🚧

https://pythonhealthdatascience.github.io/des_rap_book/




## 📖 View book locally

Build environment:

```

conda env create --file environment.yaml

conda activate des-rap-book

```

Create book:

```

quarto render

```




## 📝 Citation

| Member | ORCID | GitHub |

| --- | --- | --- |

| Amy Heather | [![ORCID: Heather](https://img.shields.io/badge/ORCID-0000--0002--6596--3479-brightgreen)](https://orcid.org/0000-0002-6596-3479) | https://github.com/amyheather |