SimBIID-package {SimBIID}

Simulation-based inference for infectious disease models

Description

Package implements various simulation-based inference routines for infectious disease models.

Details

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) <doi:10.1098/rsif.2008.0172> and a bootstrap particle filter based particle Markov chain Monte Carlo (PMCMC) algorithm (Andrieu et al., 2010 <doi:10.1111/j.1467-9868.2009.00736.x>). Also provides functions to plot and summarise the outputs.

Author(s)

Trevelyan J. McKinley <[e-mail]>