This repository contains the code and relevant documentation for the development of the MASLD treatment modelling. This modelling is intended to provide an overview of the populations eligible for each treatment, the anticipated clinical activities and the cost implications of these.
The current structure of the repository is detailed below:
├───README.md
├───LICENSE
├───.gitignore
├───data
├───documentation
├───guidance
├───references
└───specification
├───images
├───src
└───config
└───modules
└───requirements
└───www
README.md: This file containing an overview and instructions for using the repository.LICENSE: License information for the repository..gitignore: Specifies the files and folders that are ignored (not tracked) in the repository.data: Directory for data files used in the generating assumptions.documentation: Additional documentation that is helpful for understanding how the model functions and the underlying assumptions.guidance: Contains guidance on running the model such as how to run within Posit Cloud.references:.bibfiles acting as bibliographies for model development.specification: Contains documents and diagrams for developing the model specification.
images: Directory containing any logos and other images used in creating outputs for the repository.src: All source code used for any analysis and modelling. This is comprised of the following:config: Directory contains configuration files for outputs such as css themes.modules: Contains the two files for the shiny app.server.Rfor the model logic andui.Rfor the interface.requirements: Containspackages.Rwhich contains the model dependencies that need to be installed.
www: Contains images and files to be inlcuded in the app for deployment
The repository can be cloned locally using:
git clone https://github.com/NHS-Transformation-Unit/masld_treatments_model.git
The diagram below shows the structure of the model in relation to the ui.R and server.R files:
This repository has been created and developed by:
The development of the pathways and reviewing the model has also been supported by:
- Molly Glynn
- Martha Holt
- Kira Maguire
- Claire Bickerton
- Jason Carrigan
This project is licensed under the GPL-3.0 license - see the LICENSE file for details.
