In JMacDonaldPhD/Epidemics: Inference For Epidemics (one line, title case)

Observing the evolution of an infectious disease may be limited by many factors. In some cases, it may only be feasible to observe a subset of the population at discrete time points. This makes inference difficult, as it is not possible to build a tractable likelihood.

MCMC methods used previously in this series have required evaluations of the posterior (up to a constant of proportionality), which requires calculation of the likelihood.

A method has been set out to make inference on Epidemic Panel Data through MCMC with a simulation-based proposal. This simulation is used, along with a hypergeometic sampling assumption (which is made based on exchangability of individuals) to give a point estimate of the likelihood.

#' Load Epidemics Package
devtools::load_all(".")

JMacDonaldPhD/Epidemics documentation built on Jan. 10, 2020, 2:48 a.m.