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: 1.5.2
Depends: coda, adaptMCMC, LaplacesDemon, graphics, stats, utils, R (≥ 3.5.0)
Imports: methods
Published: 2020-09-30
DOI: 10.32614/CRAN.package.EpiILM
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


Please use the canonical form https://CRAN.R-project.org/package=EpiILM to link to this page.