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cff-version: 1.2.0
message: 'To cite package "EpiILMCT" in publications use:'
type: software
title: 'EpiILMCT: Continuous Time Distance-Based and Network-Based Individual Level
  Models for Epidemics'
version: 1.1.6
doi: 10.32614/CRAN.package.EpiILMCT
abstract: Provides tools for simulating from continuous-time individual level models
  of disease transmission, and carrying out infectious disease data analyses with
  the same models. The epidemic models considered are distance-based and/or contact
  network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed
  (SINR) compartmental frameworks. An overview of the implemented continuous-time
  individual level models for epidemics is given by Almutiry and Deardon (2019) <https://doi.org/10.1515/ijb-2017-0092>.
authors:
- family-names: Almutiry
  given-names: Waleed
  email: wkmtierie@qu.edu.sa
- family-names: Deardon
  given-names: Rob
repository: https://epiverse-connect.r-universe.dev
repository-code: https://github.com/waleedalmutiry/EpiILMCT/
commit: 63037c99e9ade3d85ceb75b4523052a3ee7fd7c0
url: https://github.com/waleedalmutiry/EpiILMCT/
date-released: '2020-01-20'
contact:
- family-names: Almutiry
  given-names: Waleed
  email: wkmtierie@qu.edu.sa