Simulation-Based Inference Methods for Infectious Disease Models
Provides some code to run simulations of state-space models, and then
use these in the Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC)
algorithm of Toni et al. (2009) <10.1098> and a bootstrap particle
filter based particle Markov chain Monte Carlo (PMCMC) algorithm
(Andrieu et al., 2010 <10.1111>).
Also provides functions to plot and summarise the outputs.10.1111>10.1098>