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This is a repo for the shiny app built around work developed around 'compartmental modelling methodology to support strategic decision making' by Richard M Wood, Ph.D.

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nhs-bnssg-analytics/RTT_compartmental_modelling

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RTTshiny

Lifecycle: experimental R-CMD-check codecov

The goal of RTTshiny is to provide an interface to a stock-and-flow model on NHS Referral to Treatment data, to allow planners to understand how changes in future treatment capacity can effect the waiting list size and knock on performance.

Run without installing

If you have R installed on your machine, the following command may work to run the application without installing the package:

# install.packages("shiny")
shiny::runGitHub("RTT_compartmental_modelling", "nhs-bnssg-analytics")

Installation

You can install the development version of RTTshiny from GitHub with:

# install.packages("devtools")
devtools::install_github(
  "nhs-bnssg-analytics/RTT_compartmental_modelling",
  dependencies = "Suggests"
)

Usage

To launch the Shiny app following installation:

RTTshiny::run_app()

Web pages

See more information about the model on the pkgdown website.

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This is a repo for the shiny app built around work developed around 'compartmental modelling methodology to support strategic decision making' by Richard M Wood, Ph.D.

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