https://github.com/computorg/published-202412-giorgi-efficient

https://github.com/computorg/published-202412-giorgi-efficient

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• Host: GitHub
• URL: https://github.com/computorg/published-202412-giorgi-efficient
• Owner: computorg
• License: cc-by-4.0
• Created: 2024-12-02T07:50:32.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2026-07-06T16:23:23.000Z (3 days ago)
• Last Synced: 2026-07-06T17:23:05.394Z (3 days ago)
• Language: TeX
• Homepage: http://computo-journal.org/published-202412-giorgi-efficient/
• Size: 9.7 MB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Efficient simulation of individual-based population models

Daphné Giorgi, Sarah Kaakai, Vincent Lemaire

2025-01-27

### Citation

Daphné Giorgi, Sarah Kaakai and Vincent Lemaire (January 2025). Efficient simulation of individual-based population models. Computo.

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### Authors’ affiliations

- [Daphné Giorgi](https://perso.lpsm.paris/~giorgi/) (Sorbonne Université, CNRS)

- [Sarah Kaakai](https://www.math.univ-paris13.fr/~kaakai/) (Université Sorbonne Paris Nord, CNRS, Ecole Polytechnique, CNRS)

- [Vincent Lemaire](https://perso.lpsm.paris/~vlemaire/) (Sorbonne Université, CNRS)

### Abstract

The `R` Package `IBMPopSim` facilitates the simulation of the random

evolution of heterogeneous populations using stochastic Individual-Based

Models (IBMs). The package enables users to simulate population

evolution, in which individuals are characterized by their age and some

characteristics, and the population is modified by different types of

events, including births/arrivals, death/exit events, or changes of

characteristics. The frequency at which an event can occur to an

individual can depend on their age and characteristics, but also on the

characteristics of other individuals (interactions). Such models have a

wide range of applications in fields including actuarial science,

biology, ecology or epidemiology. `IBMPopSim` overcomes the limitations

of time-consuming IBMs simulations by implementing new efficient

algorithms based on thinning methods, which are compiled using the

`Rcpp` package while providing a user-friendly interface.