https://github.com/mattwarkentin/ima2024_ropenmpp_workshop
Materials for the R/OpenM++ workshop at the 2024 IMA World Congress
https://github.com/mattwarkentin/ima2024_ropenmpp_workshop
Last synced: 3 months ago
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Materials for the R/OpenM++ workshop at the 2024 IMA World Congress
- Host: GitHub
- URL: https://github.com/mattwarkentin/ima2024_ropenmpp_workshop
- Owner: mattwarkentin
- Created: 2023-12-12T19:18:36.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-08T07:50:13.000Z (over 1 year ago)
- Last Synced: 2025-01-06T04:14:36.475Z (4 months ago)
- Language: R
- Homepage: https://mattwarkentin.github.io/IMA2024_ROpenMpp_Workshop/
- Size: 3.64 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Matt Warkentin - Hands-on with R and OpenM++ for Microsimulation
- Presenting author: Matt Warkentin (University of Calgary, Canada)
- Authors: Matt Warkentin, Michael Wolfson
- Topic: Microsimulation modeling platforms
OpenM++ is a powerful open-source platform for deploying microsimulation models at any scale. R is a powerful statistical language for data science, modelling, and data visualization. The harmony of R and OpenM++ provides a seamless interface to inspect, configure, and run microsimulation models and easily retrieve outputs/results for further processing, exploration, visualization, and reporting. In this workshop, we will teach you about the power of wrapping the OpenM++ API using the R language to provide a programmatic interface to microsimulation models with hands-on examples.
In this hands-on session we plan to cover:
- A brief history and overview of OpenM++
- How to use R to wrap the OpenM++ API
- Some tricks-of-the-trade for using R to wrap APIs (e.g., R6 OOP, active bindings)
- Introduction to the oncosimx R package
- Hands-on examples for configuring and running large and small microsimulation models using R/OpenM++
- An introduction to the OncoSim suite of microsimulation models
- Examples running large-scale population-based Canadian microsimulation disease models
- Data exploration and visualization using R and the tidyverse