Name: HePriceR: An R Package for Health Insurance
Start: 2026-06-10T16:00:00.000Z
Location: TU Wien Freihaus

**¿Te interesa aprender a crear reportes, presentaciones y documentos reproducibles en R de una manera moderna y sencilla?**

En este taller de introducción conocerás las bases de **Quarto**, una poderosa herramienta para generar documentos dinámicos integrando texto, código y visualizaciones en un solo flujo de trabajo.

# Requerimientos de software

* Instalación de R y Rstudio
* Instalación de Quarto ([https://quarto.org/docs/get-started/](https://quarto.org/docs/get-started/))

**CÓDIGO DE CONDUCTA**
Recuerda leer y atender nuestro código de conducta disponible en [https://rladies.org/code-of-conduct/](https://rladies.org/code-of-conduct/) o [https://rladiesmx.netlify.app/codigo_de_conducta/](https://rladiesmx.netlify.app/codigo_de_conducta/)

R-Ladies Cuernavaca

Tina Godoy

Karla Leslie Matías Valdez

Leticia Vega Alvarado

Veronica Jiménez-Jacinto

Miguel Cuevas Cruz

Laura Natali Afanador Barajas

Claudia H

Alonso Arriagada Monreal

Stephanie Hereira

Eulios

Gaby Cruz

Damaris Godinez-Vidal

Jaz P C

Naya BaNova

Claudia Gonzalez Salvatierra

Alexis Londoño

Sergio Payacan

Primeros pasos en Quarto

Online event

**From open match data to the warehouse: World Cup Football Analytics**
With Rabin Duran

Every few years attention swings to national teams, but the most granular analytics still start from structured match and event data. How
do you move from flat extracts to queryable tables analysts can use and
when you care about both domestic leagues and international windows, how do you keep the questions aligned with the data (lineups and events vs.
results and goals alone)?

This talk walks through a football analytics pipeline built on open
StatsBomb-style data reduced to Parquet, uploaded to Google Cloud
Storage, and loaded into BigQuery with the ingestion and cloud steps
shown in R (arrow or readr, googleCloudStorageR, bigrquery). On top of
those tables, we outline a club vs international comparison using
match-level metadata where the data actually supports per-player,
per-context contrasts.

A shorter second thread uses historical international results and goal
records from public CSVs for country and tournament-level patterns.
There we show a small dashboard tuned to that international dataset. We
finish with hands-on exploration: a Looker Studio view on BigQuery so
the audience can see how analysts browse the same tables the pipeline
publishes and we peek at a simple model or prediction sketch.

**Sampling and Monte Carlo in R**
With Conor Morrison

This presentation will briefly review some concepts in statistics, and show how mathematically tricky problems can be solved, approximately, by sampling random variables in R and computing functions of these samples.

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You are welcome to join us for some food and drinks at a nearby restaurant after we have finished.
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1. If this is your first R-Ladies event, please take a moment to review our R-Ladies Global code of conduct: [https://github.com/rladies/starter-kit/wiki/Code-of-Conduct](https://github.com/rladies/starter-kit/wiki/Code-of-Conduct)
2. Who is this allowed to attend the event?

Everyone is welcome to join us at our events and to be a part of our mission to empower gender minorities with the skills and knowledge to code in one of the top programming language in data science, which is R.
3\. To fulfill this mission we do ask participants to respect a focus on the encouragement and support for women and non\-binary people during our events\.

See you there!
Jasmine, and Melissa

R-Ladies Vancouver

Jasmine

Melissa Bather

Rabin Duran

roccolee18

Ijlal Amir

Alan Ferreira dos Santos

Chris

Member ID: #10249310

Sun Kim

Richa 

Camille

Roshni Desai

Crystal C

Ulka

Daniel Chen

World Cup Football Analytics + Sampling and Monte Carlo in R

Vancouver Public Library - Mt. Pleasant Branch

Are you an R and/or Python user interested in learning about the [Positron IDE](https://positron.posit.co/)? Join the R-Ladies Corvallis community for a workshop led by Posit's very own Charlotte Wickham! You do not need to have any experience with Positron to attend.
We'll have snacks and time set aside for mingling and asking questions. We hope you join us!

R-Ladies Corvallis

Charlotte Wickham

Erin Howard

Finley Dibert-Burgwin

Madeleine Sherry

Jessica Naranjo

Blanca Perez

Olivia

Kimberly Stanke

Brooke

Kelsey Cherland

Ashley Stengel

R-Ladies+ Corvallis: Learning Positron Workshop

Corvallis-Benton County Public Library

Join us for a relaxed evening with tea, snacks, and good company. Bring an R challenge you've been stuck on, a project you want to make progress on, or just yourself. There's no agenda, no slides -- just a room full of people who like R (and snacks).
Whether you're a beginner looking for a nudge in the right direction or a seasoned R-user happy to share what you know, you're welcome here.

The event will take place in the room ØHM11. The outer door is locked, but we will wait outside to let you in, or call me on 47641800.
Mazemap: https://link.mazemap.com/E1NxhvoO
Google maps: https://maps.app.goo.gl/MbuZZPL8m2simBwd9

The room may be a bit confusing to find, because it is NOT in the main building of Øya helsehus, it is in a smaller building right east of it.

R-Ladies Trondheim

Emma Skarstein

R bugs and bites

ØHM11, Øya helsehus østfløy

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. As we promote gender diversity and inclusion in the R community, all genders and skill levels in R are welcome!

**ℹ️ 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.

**🗺️ Location**
TU Wien Freihaus
Wiedner Hauptstraße 8-10, 1040 Vienna ([map](https://maps.app.goo.gl/N8PSCZfdi97KirFY6))
Exact room to be announced soon.

R-Ladies Vienna

Jenny Fan

Laura Vana

Ursula Laa

HePriceR: An R Package for Health Insurance

TU Wien Freihaus

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