lossrx
An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (17.1%) to scientific vocabulary
Keywords
actuarial-science
claims-data
claims-reserving
data-science
insurance
modelling
property-casualty
reserving
rpackage
rshiny
rstats
workflow
Keywords from Contributors
mesh
interactive
Last synced: 6 months ago
·
JSON representation
Repository
An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.
Basic Info
- Host: GitHub
- Owner: jimbrig
- License: other
- Language: R
- Default Branch: main
- Homepage: https://docs.jimbrig.com/lossrx/
- Size: 39.3 MB
Statistics
- Stars: 13
- Watchers: 5
- Forks: 1
- Open Issues: 5
- Releases: 4
Topics
actuarial-science
claims-data
claims-reserving
data-science
insurance
modelling
property-casualty
reserving
rpackage
rshiny
rstats
workflow
Created over 4 years ago
· Last pushed about 1 year ago
Metadata Files
Readme
Changelog
License
Codemeta
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# lossrx
[](https://github.com/jimbrig/lossrx/actions)
[](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[](http://www.repostatus.org/#wip)
*View the [Changelog](inst/CHANGELOG.md) for detailed progression on development of the package.*
*View the [Latest Database Documentation](https://dbdocs.io/jimbrigf0cdc6204e/Actuarial-Database) for a detailed look into its structure.*
## Contents
**Table of Contents**
- [Overview](#overview)
- [Installation](#installation)
- [Data](#data)
- [Data Preparation](#data-preparation)
- [Database](#database)
## Overview
The desired outcome of the `lossrx` R package is to provide actuaries and data scientists valuable tools and frameworks for performing Property Casualty related workflows.
Specifically, the package will contain:
- A suite of utility and workflow oriented functions bundled as an R package
- A plumber API that serves various endpoints related to a backend database and models
- A comprehensive, yet simple migration-friendly relational database representing the various entities, attributes, and relationships involved with actuarial reserving.[^1]
- A demo Shiny App for Actuarial Loss Development and Reserving including triangles, loss development factor selection, preliminary ultimates, etc. and a backend database/API to store results and selections.
- Comprehensive documentation and tests
## Installation
You can install the development version of `lossrx` with `pak`: [^2]
```r
pak::pak("jimbrig/lossrx")
```
## Data
### Data Preparation
This package utilizes a lot of data and in turn has a lot of code inside the [data-raw](data-raw) folder. I recommend taking a look at its [README](data-raw/README.md) to gain an understanding of how the data was prepared for both use in the package as well as included and uploaded to the database.
Data is prepared in the following ways:
- Simulated transactional claims data using the [claims_transactional.R Simulation R Script](https://github.com/jimbrig/lossrx/blob/main/data-raw/scripts/claims_transactional.R)
- Downloaded and extracted using ropensci's [piggyback package](https://github.com/ropensci/piggyback) - see the [dataprep.R Script](https://github.com/jimbrig/lossrx/blob/main/data-raw/scripts/dataprep.R).
- Supplemental *mocked data* generated using the [Mockaroo API](https://www.mockaroo.com/) for randomizing certain data attribute's.
- Uploaded and merged into the relational database using `SQL`, `R`, `CSVs`, and `YAML` files (see below about database details).
- Certain datasets are budled and included with the package as native `.rda` packaged data files.
### Database
*View Detailed [Database Documentation](https://dbdocs.io/jimbrigf0cdc6204e/Actuarial-Database) created via `dbdocs`*
The core database files are housed in the [inst/database](inst/database) directory and are included on package installation.
[^1]: See the [database container package](https://github.com/jimbrig/lossrx/pkgs/container/actuarialdb) for details on how to run the database as a container image.
[^2]: Similarly, you can install the package using the more common `devtools::install_github()` and `remotes::install_github()`
## Checks
Latest `R CMD CHECK`:
```R
-- R CMD check results -------------------------------------- lossrx 0.0.2 ----
Duration: 1m 19.3s
0 errors v | 0 warnings v | 0 notes v
R CMD check succeeded
```
> Jimmy Briggs | 2022
Owner
- Name: Jimmy Briggs
- Login: jimbrig
- Kind: user
- Location: Atlanta, GA, USA
- Company: @noclocks
- Website: https://www.linkedin.com/in/jimbrig
- Twitter: jimbrig2011
- Repositories: 444
- Profile: https://github.com/jimbrig
Striving to be a Modern Age Polymath
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GitHub Events
Total
- Watch event: 3
- Delete event: 33
- Issue comment event: 7
- Push event: 8
- Pull request event: 12
- Create event: 6
Last Year
- Watch event: 3
- Delete event: 33
- Issue comment event: 7
- Push event: 8
- Pull request event: 12
- Create event: 6
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jimmy Briggs | j****s@j****m | 338 |
| github-actions[bot] | g****] | 214 |
| dependabot[bot] | 4****] | 35 |
| Jimmy Briggs | j****s@p****m | 32 |
| Lars Gohr | l****s@g****l | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 4
- Total pull requests: 185
- Average time to close issues: N/A
- Average time to close pull requests: 18 days
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 0.0
- Average comments per pull request: 0.05
- Merged pull requests: 24
- Bot issues: 0
- Bot pull requests: 20
Past Year
- Issues: 0
- Pull requests: 4
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 1.0
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 4
Top Authors
Issue Authors
- jimbrig (5)
- dependabot[bot] (1)
Pull Request Authors
- jimbrig (269)
- dependabot[bot] (61)
Top Labels
Issue Labels
feature (2)
question (1)
documentation (1)
config (1)
bug (1)
dependencies (1)
Pull Request Labels
dependencies (61)
Dependencies
DESCRIPTION
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