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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.

Versions across snapshots

VersionRepositoryFileSize
0.2.2 rolling linux/jammy R-4.5 SimBIID_0.2.2.tar.gz 306.4 KiB
0.2.2 rolling linux/noble R-4.5 SimBIID_0.2.2.tar.gz 309.4 KiB
0.2.2 rolling source/ R- SimBIID_0.2.2.tar.gz 68.5 KiB
0.2.2 latest linux/jammy R-4.5 SimBIID_0.2.2.tar.gz 306.4 KiB
0.2.2 latest linux/noble R-4.5 SimBIID_0.2.2.tar.gz 309.4 KiB
0.2.2 latest source/ R- SimBIID_0.2.2.tar.gz 68.5 KiB
0.2.2 2026-04-26 source/ R- SimBIID_0.2.2.tar.gz 68.5 KiB
0.2.2 2026-04-23 source/ R- SimBIID_0.2.2.tar.gz 68.5 KiB
0.2.2 2026-04-09 windows/windows R-4.5 SimBIID_0.2.2.zip 629.2 KiB
0.2.2 2025-04-20 source/ R- SimBIID_0.2.2.tar.gz 68.5 KiB

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