Nothing
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
Browse package contents
Package details |
|
|---|---|
| Author | 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) |
| Maintainer | Trevelyan J. McKinley <t.mckinley@exeter.ac.uk> |
| License | GPL (>= 3) |
| Version | 0.2.1 |
| URL | https://github.com/tjmckinley/SimBIID |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the SimBIID package in your browser
Any scripts or data that you put into this service are public.
