Continuous Time Individual-Level Models of Infectious Disease: Package EpiILMCT

@article{Almutiry2021ContinuousTI,
  title={Continuous Time Individual-Level Models of Infectious Disease: Package EpiILMCT},
  author={Waleed Almutiry and Warriyar K. V. Vineetha and Rob Deardon},
  journal={J. Stat. Softw.},
  year={2021},
  volume={98}
}
This paper describes the R package EpiILMCT, which allows users to study the spread of infectious disease using continuous time individual level models (ILMs). The package provides tools for simulation from continuous time ILMs that are based on either spatial demographic, contact network, or a combination of both of them, and for the graphical summarization of epidemics. Model fitting is carried out within a Bayesian Markov Chain Monte Carlo (MCMC) framework. The continuous time ILMs can be… Expand
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