Work

Efficient simulation of individual-based population models

Year: 2024

Type: article

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.

Source: Computo

DOI: 10.57750/sfxn-1t05

Authors: Daphné Giorgi, Sarah Kaakai, Vincent Lemaire

Institutions: Centre National de la Recherche Scientifique, Sorbonne Université, École Polytechnique, Université Sorbonne Paris Nord

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

Open Access status: diamond

OpenAlex ID: W6898568895

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