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SimBIID  

Simulation-Based Inference Methods for Infectious Disease Models
View on CRAN: Click here


Download and install SimBIID package within the R console
Install from CRAN:
install.packages("SimBIID")

Install from Github:
library("remotes")
install_github("cran/SimBIID")

Install by package version:
library("remotes")
install_version("SimBIID", "0.2.1")



Attach the package and use:
library("SimBIID")
Maintained by
Trevelyan J. McKinley
[Scholar Profile | Author Map]
First Published: 2019-08-23
Latest Update: 2021-02-04
Description:
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.
How to cite:
Trevelyan J. McKinley (2019). SimBIID: Simulation-Based Inference Methods for Infectious Disease Models. R package version 0.2.1, https://cran.r-project.org/web/packages/SimBIID. Accessed 18 Apr. 2025.
Previous versions and publish date:
0.1.0 (2019-08-23 17:30), 0.1.1 (2019-08-25 00:00), 0.1.2 (2019-09-19 16:20), 0.1.3 (2019-11-21 21:50), 0.1.4 (2020-03-03 12:40), 0.2.0 (2020-05-20 22:00), 0.2.1 (2021-02-04 06:20)
Other packages that cited SimBIID R package
View SimBIID citation profile
Other R packages that SimBIID depends, imports, suggests or enhances
Complete documentation for SimBIID
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