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).
- Version2.5.0
- R version≥ 4.1
- LicenseGPL-3
- Needs compilation?Yes
- EpiModel citation info
- Last release10/11/2024
Documentation
Team
Samuel Jenness
Skye Bender-deMoll
Show author detailsRolesContributorMartina Morris
Show author detailsRolesAuthorSteven M. Goodreau
Show author detailsRolesAuthorAdrien Le Guillou
Chad Klumb
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 1,297 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 16 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 12,557 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Jul 24, 2024 with 164 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends4 packages
- Imports14 packages
- Suggests9 packages
- Linking To2 packages
- Reverse Suggests2 packages