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:	1.5.3
Depends:	coda, adaptMCMC, LaplacesDemon, graphics, stats, utils, R (≥ 4.5.0)
Imports:	methods
Published:	2025-09-26
DOI:	10.32614/CRAN.package.EpiILM (may not be active yet)
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

Documentation:

Reference manual:	EpiILM.html , EpiILM.pdf
Vignettes:	Posterior Predictive Forecasting and Model Assessment (source, R code)

Downloads:

Package source:	EpiILM_1.5.3.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): EpiILM_1.5.3.tgz, r-oldrel (x86_64): not available
Old sources:	EpiILM archive

Linking:

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