tjmckinley/SimBIID: 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) <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.

Getting started

Package details

Maintainer
LicenseGPL (>= 3)
Version0.2.0.9000
URL https://github.com/tjmckinley/SimBIID
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tjmckinley/SimBIID")
tjmckinley/SimBIID documentation built on May 25, 2020, 11:39 a.m.