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.
- Version0.2.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release02/04/2021
Documentation
Team
Trevelyan J. McKinley
Stefan Widgren
Show author detailsRolesAuthorPavol Bauer
Show author detailsRolesCopyright holderRobin Eriksson
Show author detailsRolesCopyright holderStefan Engblom
Show author detailsRolesCopyright holder
Insights
Last 30 days
This package has been downloaded 184 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,607 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 34 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports10 packages
- Suggests2 packages
- Linking To2 packages