Title: Spatial and Network Based Individual Level Models for Epidemics
Description: Provides tools for simulating from 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).
Depends: graphics, grDevices, stats, utils, R (>= 3.2.0)

Author: Vineetha Warriyar. K. V. and Rob Deardon
Maintainer: Vineetha Warriyar. K. V. <vineethawarriyar.kod@ucalgary.ca>

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).

Depends: coda, graphics, grDevices, stats, utils, R (>= 3.2.0)

Depends: coda, adaptMCMC, LaplacesDemon, graphics, stats, utils, R (>=
Author: Vineetha Warriyar. K. V., Waleed Almutiry, and Rob Deardon

Title: Continuous Time Distance-Based and Network-Based Individual
Author: Waleed Almutiry, Vineetha Warriyar K. V. and Rob Deardon
Description: Provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks.

Depends: graphics (>= 3.0), grDevices, methods (>= 3.0), stats (>=

Description: Provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and/or contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks.
Depends: graphics, stats, utils, coda, parallel, R (>= 3.4.0), igraph