Title: Spatial and Network Based Individual Level Models for Epidemics
Package: EpiILM
Version: 1.5.2
Date: 2020-09-30
Depends: coda, adaptMCMC, LaplacesDemon, graphics, stats, utils, R (>=
        3.5.0)
Imports: methods
Author: Vineetha Warriyar. K. V., Waleed Almutiry, and Rob Deardon
Maintainer: Waleed Almutiry <wkmtierie@qu.edu.sa>
Description: 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).
License: GPL (>= 2)
URL: https://github.com/waleedalmutiry/EpiILM
NeedsCompilation: yes
Packaged: 2026-10-01 10:40:52 UTC; root
Repository: https://waleedalmutiry.r-universe.dev
Date/Publication: 2020-09-30 11:53:23 UTC
RemoteUrl: https://github.com/waleedalmutiry/epiilm
RemoteRef: HEAD
RemoteSha: a22caac0e2f5af69fe202b2c750e237cbe6e295b