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.github/workflows/docker_quarto.yaml

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Rscript -e "renv::restore()"
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- name: Update YAML date with last commit
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run: ./update-quarto-date.sh
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- name: Render and publish to GitHub pages
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index.qmd

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author: STARS Project
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date: last-modified
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language:
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title-block-published: "Book last updated"
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pages/experiments/full_run.qmd

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title: Full run
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date: "2025-10-03T15:54:56+01:00"
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pages/experiments/scenarios.qmd

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title: Scenario and sensitivity analysis
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bibliography: scenarios_resources/references.bib
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date: "2025-11-06T10:44:04+00:00"
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> *Entity generation → Entity processing → Initialisation bias → Performance measures → Replications → Parallel processing → Scenario and sensitivity analysis*
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**Required packages:**
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These should be available from environment setup in the "Test yourself" section of [Environments](../setup/environment.qmd).

pages/experiments/tables_figures.qmd

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title: Tables and figures
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bibliography: scenarios_resources/references.bib
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date: "2025-10-24T10:55:25+01:00"
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This page uses the results saved on the [Scenario and sensitivity analysis](scenarios.qmd) page.
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pages/further_info/conclusion.qmd

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title: Conclusion
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date: "2025-11-05T11:44:20+00:00"
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language:
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*See the next page for details on giving feedback and contributing to this resource.*
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pages/further_info/feedback.qmd

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title: Feedback
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date: "2025-10-24T14:38:09+01:00"
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<br>
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This book is part of the **STARS (Sharing Tools and Artefacts for Reusable and Reproducible Simulations)** project, supported by the Medical Research Council.
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pages/inputs/input_data.qmd

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title: Input data management
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pages/inputs/input_modelling.qmd

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title: Input modelling
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output: html
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* Understand how input data forms the basis for **randomness** in simulated systems.
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* **Inspect, fit, and select probability distributions** for your model using both **targeted and comprehensive** approaches.
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**Acknowledgements:** Inspired by @Robinson2007 and @Monks2024.
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**Acknowledgements:** Inspired by @Robinson2007 and @Monks2024.
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## Data

pages/inputs/parameters_file.qmd

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