HePriceR: An R Package for Health Insurance

Applied statistics
Probabilistic modeling
Actuarial Science
R packages
Speaker

Eva Flonner

Event Date

10 June 2026

Flyer for the R-Ladies+ Vienna June 2026 event. All information described is availablein the main text below.

Date and Time

Wednesday, 10 June 2026
6:00 PM - 7:30 PM CEST

Venue

Seminar Room DC red 07 / Sem.R. DC rot 07
7th floor, red area
TU Wien Freihaus
Wiedner Hauptstraße 8-10, 1040 Vienna

About

We are pleased to welcome Eva Flonner from UNIQA Insurance Group to present an R package for health insurance. Join us to explore how R can be put to work in actuarial practice, from data to modeling to simulation.

Abstract

HePriceR is an R package for health insurance pricing that provides a framework for modeling expected claims and their uncertainty. The package consolidates classical actuarial approaches with modern statistical modeling, enabling transparent, reproducible, and extensible actuarial workflows.

The core focus of HePriceR lies in the estimation of expected claims and their uncertainty. It implements multiple methodological approaches, including the Rusam method for expected claims, as well as comprehensive frequency–severity modeling. The package further provides technical implementations for common product design features, such as deductibles, sublimits, and benefit caps, ensuring that modeled claim distributions align with contractual reality. From a software design perspective, HePriceR relies on a structured system of S3 classes and methods, including dedicated hpr_pricing_data objects and corresponding fit objects. This design enables consistent handling of data, fitted models, diagnostics, and downstream simulation. On top of the fitted models, the package offers Monte Carlo simulation capabilities. Overall, HePriceR provides a cohesive actuarial toolkit that bridges actuarial methodology and statistical modeling, supporting both daily operations and advanced analytical use cases. This package is based on joint work with Herr Kompott.

Speaker

Eva Flonner

Eva earned her PhD in Mathematics in Economics and Business from WU Vienna in 2025, where her dissertation on neural stochastic differential equations and stochastic filtering in finance was awarded the Dr. Maria Schaumayer prize. Furthermore, she gratefully reveiced funding for research within the Post-DocTrack program of the Austrian Academy of Sciences (OeAW). She is currently employed at UNIQA Insurance Group, where she is involved in the development of R packages for actuarial task automation in health insurance.

RSVP via Meetup