{"id":14068103,"url":"https://github.com/jimbrig/lossrunAnalyzer","last_synced_at":"2025-07-30T02:33:04.628Z","repository":{"id":105150057,"uuid":"233121332","full_name":"jimbrig/lossrunAnalyzer","owner":"jimbrig","description":"R Package and Shiny App to Analyze Insurance Lossruns","archived":true,"fork":false,"pushed_at":"2020-01-10T20:52:20.000Z","size":12,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-08-13T07:14:15.411Z","etag":null,"topics":["actuarial","data-analysis","data-mining","data-science","insurance","r","record-linkage","risk-management","shiny"],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jimbrig.png","metadata":{"files":{"readme":"README.Rmd","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2020-01-10T20:01:18.000Z","updated_at":"2024-07-06T07:59:42.000Z","dependencies_parsed_at":null,"dependency_job_id":"34aa21e8-b0bc-4c42-a885-aed9d8ef436d","html_url":"https://github.com/jimbrig/lossrunAnalyzer","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jimbrig%2FlossrunAnalyzer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jimbrig%2FlossrunAnalyzer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jimbrig%2FlossrunAnalyzer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jimbrig%2FlossrunAnalyzer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jimbrig","download_url":"https://codeload.github.com/jimbrig/lossrunAnalyzer/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":228075735,"owners_count":17865538,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["actuarial","data-analysis","data-mining","data-science","insurance","r","record-linkage","risk-management","shiny"],"created_at":"2024-08-13T07:05:56.925Z","updated_at":"2024-12-04T08:31:37.159Z","avatar_url":"https://github.com/jimbrig.png","language":"R","funding_links":[],"categories":["R"],"sub_categories":[],"readme":"---\noutput: github_document\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n# lossrunAnalyzer - Analyzing Insurance Claims Data\n\nThe goal of **lossrunAnalyzer** is to assist actuaries to quickly analyze, \ndiagnose, and summarize lossruns containing individual claims data for \nproperty casualty insurance.\n\n## Badges\n\n\u003c!-- badges: start --\u003e\n[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)\n[![Project Status: WIP](https://www.repostatus.org/badges/latest/wip.svg)](http://www.repostatus.org/#wip)\n\u003c!-- badges: end --\u003e\n\n## Installation\n\nYou can install lossrunAnalyzer from [GitHub](https://github.com/) with:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"jimbrig2011/lossrunAnalyzer\")\n```\n\n## Roadmap\n\nThe end-goal of **lossrunAnalyzer** is to provide support for the following: \n\n- Initial Reasonability Checks:\n  + Unique claim ID\n  + Paid + Case = Incurred\n  + Totals = Sum of Splits\n  + Report Date \u003e= Loss Date\n  + Field Consistency (i.e. States, Status, etc.)\n  \n- Possible Duplicate Detection\n\n- Occurrence Grouping\n\n- Adding \"Working\" Fields\n  + Retentions / Limits / Deductibles\n  + Various \"Limited\" Amounts\n  + ALAE Treatments\n  + Years (Policy, Accident, Report, Fiscal, Calendar)\n  + Lags (Report, Close, Tenure)\n  + Max IBNR's at various scenarios\n  + Legal, Lost-Time, Indemnity Support\n\n- Utilizing Lookup / Support Tables\n\n- Record Linkage to Reduce Fuzzyness\n\n- Merging Lossruns Across Multiple Evaluations\n\n- Comparing Lossruns to Prior's and Addressing Various KPI's / Diagnostic Checks\n\n- Anomaly / Outlier Detection\n\n- Automating Development Comments as to why things changed\n\n- Summarizing Data into Triangles\n\n- Performing an AvE (Actual vs. Expected) Analysis Summary\n\n- Checking for Dropped / Missing Claims or New Claims with Old Dates\n\n- Tie Out to Exposures\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjimbrig%2FlossrunAnalyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjimbrig%2FlossrunAnalyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjimbrig%2FlossrunAnalyzer/lists"}