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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: | 1.5.2 |
| Depends: | coda, adaptMCMC, LaplacesDemon, graphics, stats, utils, R (≥ 3.5.0) |
| Imports: | methods |
| Published: | 2020-09-30 |
| Author: | Vineetha Warriyar. K. V., Waleed Almutiry, and Rob Deardon |
| 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 |
| In views: | Epidemiology |
| CRAN checks: | EpiILM results |
| Reference manual: | EpiILM.pdf |
| Vignettes: |
Posterior Predictive Forecasting and Model Assessment |
| Package source: | EpiILM_1.5.2.tar.gz |
| Windows binaries: | r-devel: EpiILM_1.5.2.zip, r-release: EpiILM_1.5.2.zip, r-oldrel: EpiILM_1.5.2.zip |
| macOS binaries: | r-release (arm64): EpiILM_1.5.2.tgz, r-oldrel (arm64): EpiILM_1.5.2.tgz, r-release (x86_64): EpiILM_1.5.2.tgz, r-oldrel (x86_64): EpiILM_1.5.2.tgz |
| 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.
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