El objetivo de este repositorio es brindar un apoyo a la comunidad interesada en mejorar sus técnicas en el lenguaje de programación R o emprenderlo desde un punto de vista muy aplicado. Un repositorio con códigos de R para aplicaciones actuariales: probabilidad, estadística, riesgo y finanzas.
R-package for actuarial pricing
R-package for spatial risk calculations
An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.
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.
CRAN Task View: Actuarial Science
Uniform interface for synthesizing insurance data
R Package and Shiny App to Analyze Insurance Lossruns
The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.
Age-period-cohort models for the claim development.
Replication code for Michler, J.D., Viens, F.G., and Shively, G.E. "Risk, Crop Yields, and Weather Index Insurance in Village India." Journal of the Agricultural and Applied Economics Association 1 (1): 61-81.
1st Place Solution
This project is focused on making predictions models of medical insurance premium. By applying a linear regression model and evaluating the model, I will illustrate that whether the predictions model results are accurate and can be used to estimate premium prices in the following year.
Proof of Concept Demo Shiny Application for Tracking KPIs related to P&C Self Insurance
Building binary predictors on a heavily imbalanced dataset - exercise on policy cross-selling [kaggle]
Dynamic Risk Allocation Model - bringing simplicity to the complex realm of Property Insurance.
A Shiny application for Loss Development Triangle Generator
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