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, <doi:10.18637/jss.v084.i08>).

Package details

AuthorSamuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb]
MaintainerSamuel Jenness <samuel.m.jenness@emory.edu>
URL http://www.epimodel.org/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the EpiModel package in your browser

Any scripts or data that you put into this service are public.

EpiModel documentation built on July 9, 2023, 5:21 p.m.