Simulation-Based Inference Methods for Infectious Disease Models R package SimBIID version 0.2.2 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. Software Depends: R (>= 3.5) Imports: stats, dplyr, purrr, tibble, ggplot2, tidyr, mvtnorm, grDevices, RColorBrewer, Rcpp, RcppXPtrUtils, coda LinkingTo: Rcpp, RcppArmadillo Suggests: parallel, GGally, testthat Trevelyan J. McKinley <t.mckinley@exeter.ac.uk> Comprehensive R Archive Network (CRAN) Trevelyan 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) GPL (>= 3) 2025-04-03 application/tgz https://CRAN.R-project.org/package=SimBIID doi:10.32614/CRAN.package.SimBIID