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Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).
| Version: | 1.5.3 |
| Depends: | coda, adaptMCMC, LaplacesDemon, graphics, stats, utils, R (≥ 4.5.0) |
| Imports: | methods |
| Published: | 2025-09-26 |
| DOI: | 10.32614/CRAN.package.EpiILM |
| Author: | Vineetha Warriyar K. V. [aut], Waleed Almutiry [aut, cre], Rob Deardon [aut, ths] |
| Maintainer: | Waleed Almutiry <wkmtierie at qu.edu.sa> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/waleedalmutiry/EpiILM |
| NeedsCompilation: | yes |
| CRAN checks: | EpiILM results |
| Reference manual: | EpiILM.html , EpiILM.pdf |
| Vignettes: |
Posterior Predictive Forecasting and Model Assessment (source, R code) |
| Package source: | EpiILM_1.5.3.tar.gz |
| Windows binaries: | r-devel: EpiILM_1.5.3.zip, r-release: EpiILM_1.5.3.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): EpiILM_1.5.3.tgz, r-oldrel (arm64): not available, r-release (x86_64): EpiILM_1.5.3.tgz, r-oldrel (x86_64): not available |
| Old sources: | EpiILM archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.