Reproducible Discrete-Event Simulation in Python and R

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Reproducible Discrete-Event Simulation in Python and R
Introduction
Setup
Model inputs
Model building
Output analysis
Experimentation
- ❌ Scenario analysis
- ❌ Sensitivity analysis
Verification & validation
Style & documentation
Reports & manuscripts
- ❌ Producing tables and figures
- ❌ Full run
Collaboration & sharing
Further information
- ❌ Acknowledgements

Style & documentation
❌ GitHub actions

❌ GitHub actions

🔗 Reproducibility guidelines:

NHS Levels of RAP (🥇): Repository automatically runs tests etc. via CI/CD or a different integration/deployment tool e.g. GitHub Actions.