EpiILMCT 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; hergm; ergm; igraph; forecast; fields; SparseTSCGM; mlVAR; mgm; graphicalVAR; gimme; vars; sparsevar; nets; autovarCore; tnam; networkTomography; NetOrigin Cited in: 0 Publications Standard Articles 1 Publication describing the Software Year Continuous Time Individual-Level Models of Infectious Disease: a Package EpiILMCT Waleed Almutiry, Vineetha Warriyar K V, Rob Deardon 2020