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>.
| Version: | 1.1.6 |
| Depends: | graphics, stats, utils, coda, parallel, R (≥ 3.5.0) |
| Imports: | methods, igraph |
| Published: | 2020-01-21 |
| 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 |
| CRAN checks: | EpiILMCT results |
| Reference manual: | EpiILMCT.pdf |
| Package source: | EpiILMCT_1.1.6.tar.gz |
| Windows binaries: | r-devel: EpiILMCT_1.1.6.zip, r-release: EpiILMCT_1.1.6.zip, r-oldrel: EpiILMCT_1.1.6.zip |
| macOS binaries: | r-release: EpiILMCT_1.1.6.tgz, r-oldrel: EpiILMCT_1.1.6.tgz |
| Old sources: | EpiILMCT archive |
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