# Actuarial Development Master Resource List > A curated list of free and open source actuarial software, various references, and code repositories related to actuarial workflows as a developer. See Also: [[Actuarial Science]] *Sources:* - *[actuarialopensource/awesome-actuarial: An Awesome List of Actuarial Packages and Resources](https://github.com/actuarialopensource/awesome-actuarial)* - *[genedan/actuarial-foss: A curated list of free and open source actuarial software](https://github.com/genedan/actuarial-foss)* *** ## Loss Modeling and Statistics - [actuar](https://github.com/vigou3/actuar) - Actuarial functions and heavy tailed distributions for R. - [statsmodels](https://github.com/statsmodels/statsmodels) - Statsmodels: statistical modeling and econometrics in Python. - [tweedie (Python)](https://github.com/thequackdaddy/tweedie) - Tweedie family density estimation in python. - [tweedie (R)](https://cran.r-project.org/web/packages/tweedie/index.html) - R library for the Tweedie distribution. ## Financial Mathematics - [TmVal](https://github.com/genedan/TmVal) - Time value of money, annuity, and bond valuations with Python. - [MIES](https://github.com/genedan/MIES) - Miniature Insurance Economic Simulator. - [Yields.jl](https://github.com/JuliaActuary/Yields.jl) - A simple interface for constructing, manipulating, and using yield curves for modeling purposes. ## Reserving - [chainladder-python](https://github.com/casact/chainladder-python) - Actuarial reserving in Python. - [ChainLadder](https://github.com/mages/chainladder) - Claims reserving models in R. - [deeptriangle](https://github.com/kasaai/deeptriangle) - DeepTriangle: A Deep Learning Approach to Loss Reserving. ## Pricing - [insurancerating](https://github.com/MHaringa/insurancerating) - R-package for actuarial pricing. ## Predictive Modeling - [sparklyr](https://github.com/sparklyr/sparklyr) - R interface for Apache Spark. - [double_lift](https://github.com/casact/double_lift) - Double Lift Charts in Python. ## Catastrophe Modeling - [OasisLMF](https://github.com/OasisLMF/OasisLMF) Oasis - an open source catastrophe modeling framework. - [OasisPlatform](https://github.com/OasisLMF/OasisPlatform) - Oasis loss modelling platform in Python. - [ktools](https://github.com/OasisLMF/ktools) - In-memory simulation kernel for loss modelling. - [OasisPiWind](https://github.com/OasisLMF/OasisPiWind) - Toy UK windstorm model. ## Data Management - [OMG PCDM](https://www.omg.org/spec/PC/About-PC/) - the Object Management Group Property Casualy Data Model specification. - [PCDM](https://github.com/genedan/MIES) - Property Casualty Data Model Specification, a SQLAlchemy implementation based off OMG PCDM. - [RDOS](https://github.com/RMS-open-standards/RDOS) - RMS Risk Data Open Standard Schema. ## Data Manipulation - [modelx](https://github.com/fumitoh/modelx) - Use Python like a spreadsheet! ## Life Insurance - [lifelib](https://github.com/fumitoh/lifelib) - Actuarial models in Python. - [pyliferisk](https://github.com/franciscogarate/pyliferisk) - A python library for life actuarial calculations. - [lifecontingencies](https://github.com/spedygiorgio/lifecontingencies) - Financial and Actuarial Mathematics for Life Contingencies. - [demography](https://github.com/robjhyndman/demography) - demography package for R. - [LifeContingencies.jl](https://github.com/JuliaActuary/LifeContingencies.jl) - Life Actuarial Maths in Julia. - [MortalityTables.jl](https://github.com/JuliaActuary/MortalityTables.jl) - bundled, efficient mortality and other rate tables and related functions. - [elizur](https://github.com/trollefson/elizur) - Elizur is a finance library for actuaries, finance professionals, and students. - [JINH](https://github.com/SUNJIANZHI/JINH) - Pure Functional Actuarial Language. ## General - [ActuaryUtilities.jl](https://github.com/JuliaActuary/ActuaryUtilities.jl) - A combination of convienent financial maths, risk measures, and insurance-related convenience functions. - [Loss Data Analytics](https://ewfrees.github.io/Loss-Data-Analytics/index.html) - An open text authored by the Actuarial community ## Documentation - [actuarialsymbol](https://ctan.org/pkg/actuarialsymbol?lang=en) - A LaTeX package for rendering actuarial notation. ## Data Sets - [covid_19_data](https://github.com/casact/covid_19_data) - Data collection and exploratory analysis related to COVID-19 for general insurance actuaries and the public. - [NOAA](https://www.ncdc.noaa.gov/) - National Oceanic and Atmospheric Administration. - [NHTSA](https://www.nhtsa.gov/research-data/databases-and-software) - National Highway Traffic Safety Administration. - [raw_package](https://github.com/casact/raw_package) - Data package for R actuarial workshops. - [cellar](https://github.com/kasaai/cellar) - Data with terroir. ## Communities - [Casualty Actuarial Society](https://github.com/casact) - The CAS GitHub page. - [Kasa AI](https://github.com/kasaai/) - A ML focused group. - [Oasis](https://github.com/OasisLMF) - A sponsored organization developing the open source catastrophe model, Oasis. - [Aposin](https://github.com/aposin) - Association for the promotion of open-source insurance software and for the establishment of open interface standards in the insurance industry. - [openIMIS](https://github.com/openimis) - An open source insurance management information system (health). - [JuliaActuary](https://juliaactuary.org/) - A combination of flexible actuarial packages designed to work well together. *** ## Life Related Libraries and Packages | Package | Language | Description | | -- | -- | -- | | [pyliferisk](https://github.com/franciscogarate/pyliferisk) | Python | Life Actuarial Maths | | [LifeContingencies.jl](https://github.com/JuliaActuary/LifeContingencies.jl) | Julia | Life Actuarial Maths | | [MortalityTables.jl](https://github.com/JuliaActuary/MortalityTables.jl) | Julia | Mortality and rate tables made easy | | [heavymodel](https://github.com/lewisfogden/heavymodel) | Python | Cashflow Modelling Framework | | [lifelib](https://github.com/fumitoh/lifelib) | Python | Life Projection Models | ### Experience Analysis | Package | Language | Description | | -- | -- | -- | | [expstudies](https://github.com/MatthewCaseres/expstudies) | R | Exposure-related utility functions | | [ExperienceAnalysis.jl](https://github.com/JuliaActuary/ExperienceAnalysis.jl) | Julia | Exposure-related utility functions | ## P&C Related Libraries and Packages | Package | Language | Description | | -- | -- | -- | | [ChainLadder](https://github.com/mages/ChainLadder) | R | Claims Reserving | | [chainladder](https://github.com/casact/chainladder-python) | Python | Claims Reserving | | [aggregate](https://github.com/mynl/aggregate) | Python | Aggregate Distributions | | [PCDM](https://github.com/casact/PCDM) | Python | Property Casualty Data Model | ## Other Libraries and Packages | Package | Language | Description | | -- | -- | -- | | [Yields.jl](https://github.com/JuliaActuary/Yields.jl) | Julia | Term structure yield manipulation and discounting | | [ActuaryUtilities.jl](https://github.com/JuliaActuary/ActuaryUtilities.jl) | Julia | Financial maths and other utility functions | ## Full-Fledged Modeling Packages | Package | Language | Description | | -- | -- | -- | | [modelx](https://github.com/fumitoh/modelx) | Python | Numerical Modeling Tool | ## Open-Source Actuarial Organizations/Websites | Website | Description | | -- | -- | | [Actuarial Open Source](http://wurch.com.br/) | Promoting and collaborating on open source actuarial topics | | [JuliaActuary](https://JuliaActuary.org/) | Packages, tutorials, and resources for actuarial work in Julia | *** ## Resources - [[Simulating Actuarial Claims Data with R]] ### Organizations - [[CAS - Casualty Actuarial Society|Casualty Actuarial Society]] - [[KasaAI GitHub Organization]] ### R Packages - [[R Package - actuar]] - [[R Package - ChainLadder]] - [[R Package - insurancerating]] - [[R Package - conjuror]] ### Other - [anhdanggit/insurance-econometrics](https://github.com/anhdanggit/insurance-econometrics): Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution. ## Full List * [kasaai/deeptriangle: DeepTriangle: A Deep Learning Approach to Loss Reserving](https://github.com/kasaai/deeptriangle) * [holmen1/reserving-tutorial: chainladder - Property and Casualty Loss Reserving](https://github.com/holmen1/reserving-tutorial) * [Ractuary/casdata: CAS loss reserving data sets](https://github.com/Ractuary/casdata) * [problemofpoints/advanced-reserve-methods: Examples of bayesian MCMC loss reserving methods](https://github.com/problemofpoints/advanced-reserve-methods) * [genedan/FASLR: Free Actuarial System for Loss Reserving](https://github.com/genedan/FASLR) * [nathan-lally/ISBIS-blog: Blog post on IBNR loss reserving](https://github.com/nathan-lally/ISBIS-blog) * [PirateGrunt/CLRS2013: Casualty Loss Reserve Seminar 2013](https://github.com/PirateGrunt/CLRS2013) * [PirateGrunt (Brian Fannin)](https://github.com/PirateGrunt) * [PirateGrunt/intermediate_r](https://github.com/PirateGrunt/intermediate_r) * [PirateGrunt/represtools: Reproducible Research Tools](https://github.com/PirateGrunt/represtools) * [PirateGrunt/raw_book: Book companion to R actuarial workshops](https://github.com/PirateGrunt/raw_book) * [raw - R Actuarial Workshops](https://pirategrunt.com/raw_book/) * [PirateGrunt/CLRS2013: Casualty Loss Reserve Seminar 2013](https://github.com/PirateGrunt/CLRS2013) * [open-actuarial/stancasestudy_losscurves2: This repository contains the code and text for the second case study in a series on the use of Stan to analyse and predict loss reserving data.](https://github.com/open-actuarial/stancasestudy_losscurves2) * [Open Actuarial Tools](https://github.com/open-actuarial) * [open-actuarial/open-actuarial-site: Website for Open Actuarial](https://github.com/open-actuarial/open-actuarial-site) * [generate_lifeinsurance_book/10_create_life_policy_data.Rmd at master · open-actuarial/generate_lifeinsurance_book](https://github.com/open-actuarial/generate_lifeinsurance_book/blob/master/10_create_life_policy_data.Rmd) * [data_generation/generic_data_generation.Rmd at master · gigisr/data_generation](https://github.com/gigisr/data_generation/blob/master/generic_data_generation.Rmd) * [open-actuarial/stancasestudy_losscurves2: This repository contains the code and text for the second case study in a series on the use of Stan to analyse and predict loss reserving data.](https://github.com/open-actuarial/stancasestudy_losscurves2) * [open-actuarial/generate_captive_motor_insurance_data: Captive insurance companies are one method for larger multi-national organisations to self-insure their businesses.](https://github.com/open-actuarial/generate_captive_motor_insurance_data) * [kaybenleroll/stancasestudy_losscurves: This repository holds the code and stan files for the creation of an example Stan case study on modelling loss curves in Insurance.](https://github.com/kaybenleroll/stancasestudy_losscurves) * [open-actuarial/captive_insurer_analysis: This work is based on generating and analysis data typical of your captive insurer. This data is based in Europe but should be easy to abstract to any multinational group.](https://github.com/open-actuarial/captive_insurer_analysis) * [Domain specific tools and models — Open Actuarial documentation](https://open-actuarial.readthedocs.io/en/latest/domain_tools.html) * [Vincent Goulet / actuar · GitLab](https://gitlab.com/vigou3/actuar) * [The R-Forge R package copula project](http://copula.r-forge.r-project.org/) * [Page not found | Casualty Actuarial Society](https://www.casact.org/research/index.cfm?fa=loss_reserves_data) * [raw_package/inst/web at master · casact/raw_package](https://github.com/casact/raw_package/tree/master/inst/web) * [Casualty Actuarial Society](https://github.com/casact) * [casact/casdown: RMarkdown formats for CAS publications](https://github.com/casact/casdown) * [casact/imaginator: Randomly simulate inception and settlement of general insurance losses](https://github.com/casact/imaginator) * [casact/PCDM: Property Casualty Data Model Specification](https://github.com/casact/PCDM) * [casact/shiny_big_long](https://github.com/casact/shiny_big_long) * [casact/cascsim](https://github.com/casact/cascsim) * [casact/rp-bnn-claims: Individual Claims Forecasting with Bayesian Mixture Density Networks](https://github.com/casact/rp-bnn-claims) * [casact/e-forum: Casualty actuarial society E-Forum](https://github.com/casact/e-forum) * [casact/research-papers: This will house subprojects associated with research papers sponsored by the CAS](https://github.com/casact/research-papers) * [dutangc/CASdatasets: Datasets for the book Computational Actuarial Science with R](https://github.com/dutangc/CASdatasets) * [Actuaries2016 VicRoads | Kaggle](https://www.kaggle.com/c/actuaries2016-vicroads/data) * [Data Science - French Actuary Institute | Kaggle](https://www.kaggle.com/c/data-science-french-actuary-institute/data) * [mages/ChainLadder: Claims reserving models in R](https://github.com/mages/ChainLadder) * [shiny-server/claimsreserving at master · djhindley/shiny-server](https://github.com/djhindley/shiny-server/tree/master/claimsreserving) * [Claims reserving](https://davidjhindley.com/shiny/claimsreserving/) * [Claims reserving](https://davidjhindley.com/shiny/claimsreserving/#tab-8623-4) * [Claims reserving](https://davidjhindley.com/shiny/claimsreserving/#tab-8623-3) * [Claims reserving](https://davidjhindley.com/shiny/claimsreserving/#tab-8623-2) * [shiny-server/claimsreserving at master · djhindley/shiny-server](https://github.com/djhindley/shiny-server/tree/master/claimsreserving#sourcecode) * [shiny-server/claimsreserving/BookRcode at master · djhindley/shiny-server](https://github.com/djhindley/shiny-server/tree/master/claimsreserving/BookRcode) * [Claims reserving general insurance | Optimization, OR and risk analysis | Cambridge University Press](https://www.cambridge.org/it/academic/subjects/mathematics/optimization-or-and-risk-analysis/claims-reserving-general-insurance?format=HB&utm_source=website&utm_medium=blog&utm_campaign=9781107076938&utm_term=LFA) * [djhindley/shiny-server: DH shiny server files including claimsreserving shiny application](https://github.com/djhindley/shiny-server) * [Claims reserving general insurance | Optimization, OR and risk analysis | Cambridge University Press](https://www.cambridge.org/gb/academic/subjects/mathematics/optimization-or-and-risk-analysis/claims-reserving-general-insurance?format=HB&isbn=9781107076938#xgi50Z6ch0wlZr0b.97) * [Claims reserving general insurance | Optimization, OR and risk analysis | Cambridge University Press](https://www.cambridge.org/gb/academic/subjects/mathematics/optimization-or-and-risk-analysis/claims-reserving-general-insurance?format=HB&isbn=9781107076938#xgi50Z6ch0wlZr0b.97) * [ChainLadder.pdf](https://cran.r-project.org/web/packages/ChainLadder/ChainLadder.pdf) * [PirateGrunt/MeyersMCMC: Reformat and streamline code from Glenn Meyers monograph](https://github.com/PirateGrunt/MeyersMCMC) * [PirateGrunt (Brian Fannin)](https://github.com/PirateGrunt) * [01-Meyers.PDF](https://www.casact.org/sites/default/files/2021-02/01-Meyers.PDF) * [spedygiorgio/lifecontingencies: Financial and Actuarial Mathematics for Life Contingencies](https://github.com/spedygiorgio/lifecontingencies) * [francisduval/seminaire_reserves_travail_2: Application of Antonio and Plat individual loss reserving model on simulated data](https://github.com/francisduval/seminaire_reserves_travail_2) * [problemofpoints/reservetestr: Provides a Framework for Testing Loss Reserve Methods](https://github.com/problemofpoints/reservetestr) * [Looking through the Rear-View Mirror: Back-Testing Loss Reserve Methods](https://reservetestr.netlify.app/#1) * [Page not found | Casualty Actuarial Society](https://www.casact.org/research/index.cfm?fa=loss_reserves_data) * [Search · reserving](https://github.com/search?l=R&p=2&q=reserving&type=Repositories) * [kasaai/rsvr: "reserver"](https://github.com/kasaai/rsvr) * [Rsvr design - Google Docs](https://docs.google.com/document/d/1x2Pi7tujWLAQlqd0chBXb0Ml0Ga2HK797OVJSaQQjv0/edit) * [kasaai/simulationmachine: Individual claims history simulation machine](https://github.com/kasaai/simulationmachine) * [Kasa AI](https://github.com/kasaai) * [mages/PSRWP: A Practitioner's Introduction to Stochastic Reserving](https://github.com/mages/PSRWP) * [A Practitioner’s Introduction to Stochastic Reserving](http://mages.github.io/PSRWP/) * [JoaquinAuza/DetLifeInsurance: Life Insurance Premium and Reserves Valuation](https://github.com/JoaquinAuza/DetLifeInsurance) * [ArnaudBu/ReservingLad: R package for reserving in non life insurance](https://github.com/ArnaudBu/ReservingLad) * [actuarialvoodoo/reproducible-reserving: An example workflow for actuarial reserving using R/Rmarkdown](https://github.com/actuarialvoodoo/reproducible-reserving) * [actuarialvoodoo (Ryan Thomas) / Repositories](https://github.com/actuarialvoodoo?after=Y3Vyc29yOnYyOpK5MjAxOS0wOC0wMVQyMDo0MzozNC0wNDowMM4LsJXW&tab=repositories) * [kasaai/pc-pricing-tutorial: Practical Ratemaking](https://github.com/kasaai/pc-pricing-tutorial) * [actuarialvoodoo/blog](https://github.com/actuarialvoodoo/blog) * [Azure/AppConfiguration: Questions, feedback and samples for Azure App Configuration service](https://github.com/Azure/AppConfiguration) * [actuarialvoodoo/plumbdocker](https://github.com/actuarialvoodoo/plumbdocker) * [actuarialvoodoo/safelyexample: An example of using purrr::safely for clean R code](https://github.com/actuarialvoodoo/safelyexample) * [actuarialvoodoo/rethinking-workflows](https://github.com/actuarialvoodoo/rethinking-workflows) * [kasaai/references: Papers, blogs, and other fun stuff.](https://github.com/kasaai/references) * [kasaai/pc-pricing-tutorial: Practical Ratemaking](https://github.com/kasaai/pc-pricing-tutorial) * [actuarialvoodoo/stochasticLossReserve](https://github.com/actuarialvoodoo/stochasticLossReserve) * [actuarialvoodoo/datablog](https://github.com/actuarialvoodoo/datablog) * [actuarialvoodoo/wcratr: Open Source workers' compensation premium calculator](https://github.com/actuarialvoodoo/wcratr) * [actuarialvoodoo/insuranceSimModel](https://github.com/actuarialvoodoo/insuranceSimModel) * [seanhardison1/vcrshiny: A shiny app for visualizing research data from the Virginia Coast Reserve LTER](https://github.com/seanhardison1/vcrshiny) * [veeranalytics/ReservingAutoInsuranceProducts: Reserving Model for Auto Insurance Products. Details and Code will be uploaded soon.](https://github.com/veeranalytics/ReservingAutoInsuranceProducts) * [veeranalytics/ReservingLifeInsurance: Reserving Model for Life Insurance Products. Details and Code will be uploaded soon.](https://github.com/veeranalytics/ReservingLifeInsurance) *** ## Links * [kasaai/deeptriangle: DeepTriangle: A Deep Learning Approach to Loss Reserving](https://github.com/kasaai/deeptriangle) * [holmen1/reserving-tutorial: chainladder - Property and Casualty Loss Reserving](https://github.com/holmen1/reserving-tutorial) * [Ractuary/casdata: CAS loss reserving data sets](https://github.com/Ractuary/casdata) * [problemofpoints/advanced-reserve-methods: Examples of bayesian MCMC loss reserving methods](https://github.com/problemofpoints/advanced-reserve-methods) * [genedan/FASLR: Free Actuarial System for Loss Reserving](https://github.com/genedan/FASLR) * [nathan-lally/ISBIS-blog: Blog post on IBNR loss reserving](https://github.com/nathan-lally/ISBIS-blog) * [PirateGrunt/CLRS2013: Casualty Loss Reserve Seminar 2013](https://github.com/PirateGrunt/CLRS2013) * [PirateGrunt (Brian Fannin)](https://github.com/PirateGrunt) * [PirateGrunt/intermediate_r](https://github.com/PirateGrunt/intermediate_r) * [PirateGrunt/represtools: Reproducible Research Tools](https://github.com/PirateGrunt/represtools) * [PirateGrunt/raw_book: Book companion to R actuarial workshops](https://github.com/PirateGrunt/raw_book) * [raw - R Actuarial Workshops](https://pirategrunt.com/raw_book/) * [PirateGrunt/CLRS2013: Casualty Loss Reserve Seminar 2013](https://github.com/PirateGrunt/CLRS2013) * [open-actuarial/stancasestudy_losscurves2: This repository contains the code and text for the second case study in a series on the use of Stan to analyse and predict loss reserving data.](https://github.com/open-actuarial/stancasestudy_losscurves2) * [Open Actuarial Tools](https://github.com/open-actuarial) * [open-actuarial/open-actuarial-site: Website for Open Actuarial](https://github.com/open-actuarial/open-actuarial-site) * [generate_lifeinsurance_book/10_create_life_policy_data.Rmd at master · open-actuarial/generate_lifeinsurance_book](https://github.com/open-actuarial/generate_lifeinsurance_book/blob/master/10_create_life_policy_data.Rmd) * [data_generation/generic_data_generation.Rmd at master · gigisr/data_generation](https://github.com/gigisr/data_generation/blob/master/generic_data_generation.Rmd) * [open-actuarial/stancasestudy_losscurves2: This repository contains the code and text for the second case study in a series on the use of Stan to analyse and predict loss reserving data.](https://github.com/open-actuarial/stancasestudy_losscurves2) * [open-actuarial/generate_captive_motor_insurance_data: Captive insurance companies are one method for larger multi-national organisations to self-insure their businesses.](https://github.com/open-actuarial/generate_captive_motor_insurance_data) * [kaybenleroll/stancasestudy_losscurves: This repository holds the code and stan files for the creation of an example Stan case study on modelling loss curves in Insurance.](https://github.com/kaybenleroll/stancasestudy_losscurves) * [open-actuarial/captive_insurer_analysis: This work is based on generating and analysis data typical of your captive insurer. This data is based in Europe but should be easy to abstract to any multinational group.](https://github.com/open-actuarial/captive_insurer_analysis) * [Domain specific tools and models — Open Actuarial documentation](https://open-actuarial.readthedocs.io/en/latest/domain_tools.html) * [Vincent Goulet / actuar · GitLab](https://gitlab.com/vigou3/actuar) * [The R-Forge R package copula project](http://copula.r-forge.r-project.org/) * [Page not found | Casualty Actuarial Society](https://www.casact.org/research/index.cfm?fa=loss_reserves_data) * [raw_package/inst/web at master · casact/raw_package](https://github.com/casact/raw_package/tree/master/inst/web) * [Casualty Actuarial Society](https://github.com/casact) * [casact/casdown: RMarkdown formats for CAS publications](https://github.com/casact/casdown) * [casact/imaginator: Randomly simulate inception and settlement of general insurance losses](https://github.com/casact/imaginator) * [casact/PCDM: Property Casualty Data Model Specification](https://github.com/casact/PCDM) * [casact/shiny_big_long](https://github.com/casact/shiny_big_long) * [casact/cascsim](https://github.com/casact/cascsim) * [casact/rp-bnn-claims: Individual Claims Forecasting with Bayesian Mixture Density Networks](https://github.com/casact/rp-bnn-claims) * [casact/e-forum: Casualty actuarial society E-Forum](https://github.com/casact/e-forum) * [casact/research-papers: This will house subprojects associated with research papers sponsored by the CAS](https://github.com/casact/research-papers) * [dutangc/CASdatasets: Datasets for the book Computational Actuarial Science with R](https://github.com/dutangc/CASdatasets) * [Actuaries2016 VicRoads | Kaggle](https://www.kaggle.com/c/actuaries2016-vicroads/data) * [Data Science - French Actuary Institute | Kaggle](https://www.kaggle.com/c/data-science-french-actuary-institute/data) * [mages/ChainLadder: Claims reserving models in R](https://github.com/mages/ChainLadder) * [shiny-server/claimsreserving at master · djhindley/shiny-server](https://github.com/djhindley/shiny-server/tree/master/claimsreserving) * [Claims reserving](https://davidjhindley.com/shiny/claimsreserving/) * [Claims reserving](https://davidjhindley.com/shiny/claimsreserving/#tab-8623-4) * [Claims reserving](https://davidjhindley.com/shiny/claimsreserving/#tab-8623-3) * [Claims reserving](https://davidjhindley.com/shiny/claimsreserving/#tab-8623-2) * [shiny-server/claimsreserving at master · djhindley/shiny-server](https://github.com/djhindley/shiny-server/tree/master/claimsreserving#sourcecode) * [shiny-server/claimsreserving/BookRcode at master · djhindley/shiny-server](https://github.com/djhindley/shiny-server/tree/master/claimsreserving/BookRcode) * [Claims reserving general insurance | Optimization, OR and risk analysis | Cambridge University Press](https://www.cambridge.org/it/academic/subjects/mathematics/optimization-or-and-risk-analysis/claims-reserving-general-insurance?format=HB&utm_source=website&utm_medium=blog&utm_campaign=9781107076938&utm_term=LFA) * [djhindley/shiny-server: DH shiny server files including claimsreserving shiny application](https://github.com/djhindley/shiny-server) * [Claims reserving general insurance | Optimization, OR and risk analysis | Cambridge University Press](https://www.cambridge.org/gb/academic/subjects/mathematics/optimization-or-and-risk-analysis/claims-reserving-general-insurance?format=HB&isbn=9781107076938#xgi50Z6ch0wlZr0b.97) * [Claims reserving general insurance | Optimization, OR and risk analysis | Cambridge University Press](https://www.cambridge.org/gb/academic/subjects/mathematics/optimization-or-and-risk-analysis/claims-reserving-general-insurance?format=HB&isbn=9781107076938#xgi50Z6ch0wlZr0b.97) * [ChainLadder.pdf](https://cran.r-project.org/web/packages/ChainLadder/ChainLadder.pdf) * [PirateGrunt/MeyersMCMC: Reformat and streamline code from Glenn Meyers monograph](https://github.com/PirateGrunt/MeyersMCMC) * [PirateGrunt (Brian Fannin)](https://github.com/PirateGrunt) * [01-Meyers.PDF](https://www.casact.org/sites/default/files/2021-02/01-Meyers.PDF) * [spedygiorgio/lifecontingencies: Financial and Actuarial Mathematics for Life Contingencies](https://github.com/spedygiorgio/lifecontingencies) * [francisduval/seminaire_reserves_travail_2: Application of Antonio and Plat individual loss reserving model on simulated data](https://github.com/francisduval/seminaire_reserves_travail_2) * [problemofpoints/reservetestr: Provides a Framework for Testing Loss Reserve Methods](https://github.com/problemofpoints/reservetestr) * [Looking through the Rear-View Mirror: Back-Testing Loss Reserve Methods](https://reservetestr.netlify.app/#1) * [Page not found | Casualty Actuarial Society](https://www.casact.org/research/index.cfm?fa=loss_reserves_data) * [Search · reserving](https://github.com/search?l=R&p=2&q=reserving&type=Repositories) * [kasaai/rsvr: "reserver"](https://github.com/kasaai/rsvr) * [Rsvr design - Google Docs](https://docs.google.com/document/d/1x2Pi7tujWLAQlqd0chBXb0Ml0Ga2HK797OVJSaQQjv0/edit) * [kasaai/simulationmachine: Individual claims history simulation machine](https://github.com/kasaai/simulationmachine) * [Kasa AI](https://github.com/kasaai) * [mages/PSRWP: A Practitioner's Introduction to Stochastic Reserving](https://github.com/mages/PSRWP) * [A Practitioner’s Introduction to Stochastic Reserving](http://mages.github.io/PSRWP/) * [JoaquinAuza/DetLifeInsurance: Life Insurance Premium and Reserves Valuation](https://github.com/JoaquinAuza/DetLifeInsurance) * [ArnaudBu/ReservingLad: R package for reserving in non life insurance](https://github.com/ArnaudBu/ReservingLad) * [actuarialvoodoo/reproducible-reserving: An example workflow for actuarial reserving using R/Rmarkdown](https://github.com/actuarialvoodoo/reproducible-reserving) * [actuarialvoodoo (Ryan Thomas) / Repositories](https://github.com/actuarialvoodoo?after=Y3Vyc29yOnYyOpK5MjAxOS0wOC0wMVQyMDo0MzozNC0wNDowMM4LsJXW&tab=repositories) * [kasaai/pc-pricing-tutorial: Practical Ratemaking](https://github.com/kasaai/pc-pricing-tutorial) * [actuarialvoodoo/blog](https://github.com/actuarialvoodoo/blog) * [Azure/AppConfiguration: Questions, feedback and samples for Azure App Configuration service](https://github.com/Azure/AppConfiguration) * [actuarialvoodoo/plumbdocker](https://github.com/actuarialvoodoo/plumbdocker) * [actuarialvoodoo/safelyexample: An example of using purrr::safely for clean R code](https://github.com/actuarialvoodoo/safelyexample) * [actuarialvoodoo/rethinking-workflows](https://github.com/actuarialvoodoo/rethinking-workflows) * [kasaai/references: Papers, blogs, and other fun stuff.](https://github.com/kasaai/references) * [kasaai/pc-pricing-tutorial: Practical Ratemaking](https://github.com/kasaai/pc-pricing-tutorial) * [actuarialvoodoo/stochasticLossReserve](https://github.com/actuarialvoodoo/stochasticLossReserve) * [actuarialvoodoo/datablog](https://github.com/actuarialvoodoo/datablog) * [actuarialvoodoo/wcratr: Open Source workers' compensation premium calculator](https://github.com/actuarialvoodoo/wcratr) * [actuarialvoodoo/insuranceSimModel](https://github.com/actuarialvoodoo/insuranceSimModel) * [seanhardison1/vcrshiny: A shiny app for visualizing research data from the Virginia Coast Reserve LTER](https://github.com/seanhardison1/vcrshiny) * [veeranalytics/ReservingAutoInsuranceProducts: Reserving Model for Auto Insurance Products. Details and Code will be uploaded soon.](https://github.com/veeranalytics/ReservingAutoInsuranceProducts) * [veeranalytics/ReservingLifeInsurance: Reserving Model for Life Insurance Products. Details and Code will be uploaded soon.](https://github.com/veeranalytics/ReservingLifeInsurance) - [anhdanggit/insurance-econometrics](https://github.com/anhdanggit/insurance-econometrics): Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution. *** *Backlinks:* ```dataview list from [[Actuarial Development Master Resource List]] AND -"Changelog" ```