jimbrig / loss_development_app

Boilerplate Actuarial Reserving Loss Development R Shiny Application

Loss Development Shiny App

• Live example: https://jimbrig.shinyapps.io/lossdevt
• Code: https://github.com/jimbrig/loss_development_app

Roadmap

A simple shiny web app with the following features:

1. Loss development triangles:

• Types:
  • Paid
  • Reported
  • Case Reserves
  • Reported Claim Counts
• Age-to-Age Factors Triangle
• Averages

2. Actual vs. Expected
3. Ultimate Selections

Installation

• Clone repo and run shiny::runApp("shiny_app") or,
• Pull docker image and run locally on port 8080:

docker run -p 8080:8080 -it ghcr.io/jimbrig/lossdevt:latest

Related Projects

• Online Rater
  • Live example: https://tychobra.shinyapps.io/online_rater
  • Code: https://github.com/Tychobra/online_rater

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File and Folder Structure

Use deploy.R script to deploy the app

Only files and folders that need to be deployed with the Shiny app go in the "shiny_app/" folder.

Project root level folders:

• "data_prep/" - for data preparation. Most projects need data to be prepped from some raw format to a format ready for the app. This folder is most heavily used in the early days of the project as we are exploring the data and cleaning up initial data issues.
  • "provided/" - raw data provided by the client goes here. This data is not tracked on GitHub
  • "prepped/" - cleaned versions of the data in "provided" goes here. This data is also not tracked on GitHub.
• "docs/" - additional documentation goes here
• "analysis/" - additional analysis e.g. EDA goes here. Also if you are training models that may or may not end up in your Shiny app, do that here.
• You can make other folders as is appropriate for your project

"shiny_app/" level folders:

• "www/" - contains all front end assets (i.e. css, js, and images)
• "data/" - contains any flat files that need to be deployed with the app
• "R/" - contains all R functions and modules. Files containing modules should end with '_module.R'