# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "EpiModel" in publications use:'
type: software
license: GPL-3.0-only
title: 'EpiModel: Mathematical Modeling of Infectious Disease Dynamics'
version: 2.5.0
doi: 10.18637/jss.v084.i08
identifiers:
- type: doi
  value: 10.32614/CRAN.package.EpiModel
- type: url
  value: https://epimodel.github.io/EpiModel/
abstract: 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://doi.org/10.18637/jss.v084.i08>).
authors:
- family-names: Jenness
  given-names: Samuel
  email: samuel.m.jenness@emory.edu
- family-names: Goodreau
  given-names: Steven M.
  email: goodreau@uw.edu
- family-names: Morris
  given-names: Martina
  email: morrism@uw.edu
- family-names: Le Guillou
  given-names: Adrien
  email: contact@aleguillou.org
- family-names: Klumb
  given-names: Chad
  email: cklumb@gmail.com
preferred-citation:
  type: article
  title: 'EpiModel: An R Package for Mathematical Modeling of Infectious Disease over
    Networks'
  authors:
  - family-names: Jenness
    given-names: Samuel M.
    email: samuel.m.jenness@emory.edu
  - family-names: Goodreau
    given-names: Steven M.
    email: goodreau@uw.edu
  - family-names: Morris
    given-names: Martina
    email: morrism@uw.edu
  journal: Journal of Statistical Software
  year: '2018'
  volume: '84'
  issue: '8'
  doi: 10.18637/jss.v084.i08
  keywords:
  - mathematical model
  - infectious disease
  - epidemiology
  - networks
  - R
  start: '1'
  end: '47'
repository: https://epiverse-connect.r-universe.dev
repository-code: https://github.com/EpiModel/EpiModel/issues/
commit: 2b3acacf59d2350000c88becabdbda818d00c389
url: https://www.epimodel.org/
date-released: '2024-10-10'
contact:
- family-names: Jenness
  given-names: Samuel
  email: samuel.m.jenness@emory.edu