Step-by-step guide for building simulation models as part of a reproducible analytical pipeline (RAP). Check it out at: https://pythonhealthdatascience.github.io/des_rap_book/.
This website is created using Quarto and hosted on GitHub pages. You can view the site locally. With quarto installed, you will need to:
1. Build the python environment
conda env create --file environment.yaml
conda activate des-rap-book
2. Build the R environment
renv::init()
renv::restore()
3. Create the book.
quarto render
To cite this work, see the CITATION.cff file in this repository or use the "Cite this repository" button on GitHub.
To lint active Python and R code:
bash lint.sh
Note: inactive code (i.e. code that does not get run when building the book) will not be linted - though the R linter will enforce a terminal newline at the end of each .qmd file.
This project is supported by the Medical Research Council [grant number MR/Z503915/1].