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.

Package details

AuthorTrevelyan J. McKinley [aut, cre], Stefan Widgren [aut] (Author of 'R/mparse.R'), Pavol Bauer [cph] (R/mparse.R), Robin Eriksson [cph] (R/mparse.R), Stefan Engblom [cph] (R/mparse.R)
MaintainerTrevelyan J. McKinley <[email protected]>
LicenseGPL (>= 3)
Version0.1.3
URL https://github.com/tjmckinley/SimBIID
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SimBIID")

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SimBIID documentation built on Nov. 22, 2019, 1:07 a.m.