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IBMPopSim  

Individual Based Model Population Simulation
View on CRAN: Click here


Download and install IBMPopSim package within the R console
Install from CRAN:
install.packages("IBMPopSim")

Install from Github:
library("remotes")
install_github("cran/IBMPopSim")

Install by package version:
library("remotes")
install_version("IBMPopSim", "1.0.0")



Attach the package and use:
library("IBMPopSim")
Maintained by
Daphné Giorgi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-17
Latest Update: 2024-02-09
Description:
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. For instance, IBMs can be used for simulating the evolution of a heterogeneous insurance portfolio with selection or for validating mortality forecasts. This package 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.
How to cite:
Daphné Giorgi (2020). IBMPopSim: Individual Based Model Population Simulation. R package version 1.0.0, https://cran.r-project.org/web/packages/IBMPopSim
Previous versions and publish date:
0.3.0 (2020-10-17 14:00), 0.3.1 (2020-11-10 16:30), 0.4.3 (2023-01-07 13:50)
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Maintainer: Li Yan (view profile)

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