Provides an efficient and very flexible framework to conduct data-driven epidemiological modeling in realistic large scale disease spread simulations. The framework integrates infection dynamics in subpopulations as continuous-time Markov chains using the Gillespie stochastic simulation algorithm and incorporates available data such as births, deaths and movements as scheduled events at predefined time-points. Using C code for the numerical solvers and 'OpenMP' (if available) to divide work over multiple processors ensures high performance when simulating a sample outcome. One of our design goals was to make the package extendable and enable usage of the numerical solvers from other R extension packages in order to facilitate complex epidemiological research. The package contains template models and can be extended with user-defined models. For more details see the paper by Widgren, Bauer, Eriksson and Engblom (2019) <doi:10.18637/jss.v091.i12>. The package also provides functionality to fit models to time series data using the Approximate Bayesian Computation Sequential Monte Carlo ('ABC-SMC') algorithm of Toni and others (2009) <doi:10.1098/rsif.2008.0172>.
Version: | 9.1.0 |
Depends: | R (≥ 4.0) |
Imports: | digest, graphics, grDevices, MASS, methods, stats, utils, Matrix |
Suggests: | knitr, rmarkdown |
Published: | 2022-06-08 |
Author: | Stefan Widgren [aut, cre], Robin Eriksson [aut], Stefan Engblom [aut], Pavol Bauer [aut], Thomas Rosendal [ctb], Attractive Chaos [cph] (Author of 'kvec.h'.) |
Maintainer: | Stefan Widgren <stefan.widgren at gmail.com> |
BugReports: | https://github.com/stewid/SimInf/issues |
License: | GPL-3 |
URL: | https://github.com/stewid/SimInf |
NeedsCompilation: | yes |
SystemRequirements: | GNU Scientific Library (GSL) |
Citation: | SimInf citation info |
Materials: | README NEWS |
In views: | Epidemiology |
CRAN checks: | SimInf results |
Reference manual: | SimInf.pdf |
Vignettes: |
SimInf: An R Package for Data-Driven Stochastic Disease Spread Simulations Scheduled events |
Package source: | SimInf_9.1.0.tar.gz |
Windows binaries: | r-devel: SimInf_9.1.0.zip, r-release: SimInf_9.1.0.zip, r-oldrel: SimInf_9.1.0.zip |
macOS binaries: | r-release (arm64): SimInf_9.1.0.tgz, r-oldrel (arm64): SimInf_9.1.0.tgz, r-release (x86_64): SimInf_9.1.0.tgz, r-oldrel (x86_64): SimInf_9.1.0.tgz |
Old sources: | SimInf archive |
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