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. <doi:10.18637/jss.v098.i10>.

Getting started

Package details

AuthorWaleed Almutiry [aut, cre], Rob Deardon [aut, ths], Vineetha Warriyar K. V. [ctb]
MaintainerWaleed Almutiry <wkmtierie@qu.edu.sa>
LicenseGPL (>= 2)
URL https://github.com/waleedalmutiry/EpiILMCT/
Package repositoryView on CRAN
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EpiILMCT documentation built on June 29, 2021, 9:08 a.m.