# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "epinet" in publications use:'
type: software
license: GPL-2.0-only
title: 'epinet: Epidemic/Network-Related Tools'
version: 2.1.11
doi: 10.18637/jss.v083.i11
identifiers:
- type: doi
  value: 10.32614/CRAN.package.epinet
abstract: A collection of epidemic/network-related tools. Simulates transmission of
  diseases through contact networks. Performs Bayesian inference on network and epidemic
  parameters, given epidemic data.
authors:
- family-names: Groendyke
  given-names: Chris
  email: cgroendyke@gmail.com
- family-names: Welch
  given-names: David
  email: david.welch@auckland.ac.nz
preferred-citation:
  type: article
  title: 'epinet: An R Package to Analyze Epidemics Spread across Contact Networks'
  authors:
  - family-names: Groendyke
    given-names: Chris
    email: groendyke@rmu.edu
  - family-names: Welch
    given-names: David
    email: david.welch@auckland.ac.nz
  journal: Journal of Statistical Software
  year: '2018'
  volume: '83'
  issue: '11'
  doi: 10.18637/jss.v083.i11
  start: '1'
  end: '22'
repository: https://epiverse-connect.r-universe.dev
commit: f953dbac45350c28077d6b0bc621d84636ecb503
date-released: '2023-11-29'
contact:
- family-names: Groendyke
  given-names: Chris
  email: cgroendyke@gmail.com