swMATH ID: 31969
Software Authors: Waleed Almutiry, Rob Deardon, Vineetha Warriyar K. V.
Description: R package EpiILMCT: Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics. 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) <doi:10.1515/ijb-2017-0092>.
Homepage: https://cran.r-project.org/web/packages/EpiILMCT/index.html
Source Code:  https://github.com/cran/EpiILMCT
Dependencies: R
Keywords: arXiv_stat.AP; arXiv_stat.CO; R; R package; Epidemics; Infectious Disease; TSWV disease; continuous time; individual level models; ILMs
Related Software: EpiILM; epinet; R; ergm; hergm; igraph; forecast; fields; SparseTSCGM; mlVAR; mgm; graphicalVAR; gimme; vars; sparsevar; nets; autovarCore; tnam; networkTomography; NetOrigin
Cited in: 0 Documents

Standard Articles

1 Publication describing the Software Year
Continuous Time Individual-Level Models of Infectious Disease: a Package EpiILMCT arXiv
Waleed Almutiry, Vineetha Warriyar K V, Rob Deardon