Nothing
EpiILMCT: Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
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. <doi:10.18637/jss.v098.i10>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Waleed Almutiry [aut, cre], Rob Deardon [aut, ths], Vineetha Warriyar K. V. [ctb] |
| Maintainer | Waleed Almutiry <w.mutiry@etec.gov.sa> |
| License | GPL (>= 2) |
| Version | 1.1.9 |
| URL | https://github.com/waleedalmutiry/EpiILMCT/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the EpiILMCT package in your browser
Any scripts or data that you put into this service are public.
