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>.
| Version: |
1.1.7 |
| Depends: |
graphics, stats, utils, coda, parallel, R (≥ 3.5.0) |
| Imports: |
methods, igraph |
| Published: |
2021-06-29 |
| DOI: |
10.32614/CRAN.package.EpiILMCT |
| Author: |
Waleed Almutiry [aut, cre],
Rob Deardon [aut, ths],
Vineetha Warriyar K. V. [ctb] |
| Maintainer: |
Waleed Almutiry <wkmtierie at qu.edu.sa> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/waleedalmutiry/EpiILMCT/ |
| NeedsCompilation: |
yes |
| Citation: |
EpiILMCT citation info |
| In views: |
Epidemiology |
| CRAN checks: |
EpiILMCT results |
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