EpiModel
Mathematical Modeling of Infectious Disease Dynamics
Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic individual-contact models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an API for extending these templates to address novel scientific research aims. Full methods for EpiModel are detailed in Jenness et al. (2018,
- https://www.epimodel.org/
- https://epimodel.github.io/EpiModel/
- File a bug report
- EpiModel results
- EpiModel.pdf
- Version2.5.0
- R version≥ 4.1
- LicenseGPL-3
- Needs compilation?Yes
- EpiModel citation info
- Last release10/11/2024
Documentation
- VignetteEpiModel Introduction
- Vignettesource
- VignetteR code
- VignetteWorking with Custom Attributes and Summary Statistics
- Vignettesource
- VignetteR code
- VignetteWorking with Model Parameters
- Vignettesource
- VignetteR code
- VignetteWorking with Network Objects
- Vignettesource
- VignetteR code
- MaterialNEWS
- In ViewsEpidemiology
Team
Samuel Jenness
Steven M. Goodreau
Show author detailsRolesAuthorMartina Morris
Show author detailsRolesAuthorAdrien Le Guillou
Show author detailsRolesAuthorChad Klumb
Show author detailsRolesAuthorSkye Bender-deMoll
Show author detailsRolesContributor
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Dependencies
- Depends5 packages
- Imports18 packages
- Suggests9 packages
- Linking To2 packages
- Reverse Suggests2 packages