Package: EpiILMCT
Title: Continuous Time Distance-Based and Network-Based Individual
        Level Models for Epidemics
Version: 1.1.6
Date: 2020-01-20
Authors@R: c(
    person("Waleed", "Almutiry", email = "wkmtierie@qu.edu.sa", role = c("aut", "cre")), 
    person("Rob", "Deardon", role = c("aut", "ths")), 
    person("Vineetha", "Warriyar K. V.", role = "ctb") 
  )
Author: Waleed Almutiry [aut, cre], Rob Deardon [aut, ths], Vineetha
        Warriyar K. V. [ctb]
Maintainer: Waleed Almutiry <wkmtierie@qu.edu.sa>
Description: 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>.
Depends: graphics, stats, utils, coda, parallel, R (>= 3.5.0)
Imports: methods, igraph
License: GPL (>=2)
URL: https://github.com/waleedalmutiry/EpiILMCT/
NeedsCompilation: yes
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://waleedalmutiry.r-universe.dev
Date/Publication: 2020-01-21 21:51:20 UTC
RemoteUrl: https://github.com/waleedalmutiry/epiilmct
RemoteRef: HEAD
RemoteSha: 63037c99e9ade3d85ceb75b4523052a3ee7fd7c0
Packaged: 2026-09-29 18:38:46 UTC; root