EpiILM: Spatial and Network Based Individual Level Models for Epidemics

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: 1.5.1
Depends: coda, adaptMCMC, LaplacesDemon, graphics, stats, utils, R (≥ 3.5.0)
Imports: methods
Published: 2020-06-29
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/vineetha-warriyar/EpiILM
NeedsCompilation: yes
CRAN checks: EpiILM results


Reference manual: EpiILM.pdf
Vignettes: Posterior Predictive Forecasting and Model Assessment
Package source: EpiILM_1.5.1.tar.gz
Windows binaries: r-devel: EpiILM_1.5.1.zip, r-release: EpiILM_1.5.1.zip, r-oldrel: EpiILM_1.5.1.zip
macOS binaries: r-release: EpiILM_1.5.1.tgz, r-oldrel: EpiILM_1.5.1.tgz
Old sources: EpiILM archive


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