https://github.com/jimbrig/loss_development_app
Boilerplate Actuarial Reserving Loss Development R Shiny Application
https://github.com/jimbrig/loss_development_app
Last synced: about 1 month ago
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Boilerplate Actuarial Reserving Loss Development R Shiny Application
- Host: GitHub
- URL: https://github.com/jimbrig/loss_development_app
- Owner: jimbrig
- Created: 2021-09-28T13:41:58.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-02-29T20:26:16.000Z (about 1 year ago)
- Last Synced: 2025-01-13T00:32:37.905Z (3 months ago)
- Language: R
- Size: 5.79 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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- jimsghstars - jimbrig/loss_development_app - Boilerplate Actuarial Reserving Loss Development R Shiny Application (R)
README
# 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:
```bash
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
***
### 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'