Skip to content

This is part of the code used for the manuscript "Model selection and parameter estimation for dynamic epidemic models via iterated filtering: application to rotavirus in Germany " by T. Stocks, M. Höhle, T. Britton (2018) published in Biostatistics.

Notifications You must be signed in to change notification settings

theresasophia/pomp-astic

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This is part of the code used for the manuscript "Model selection and parameter estimation for dynamic epidemic models via iterated filtering: application to rotavirus in Germany " by T. Stocks, M. Höhle, T. Britton (2018) published in Biostatistics (https://doi.org/10.1093/biostatistics/kxy057). Preprint version: [https://www.biorxiv.org/content/early/2017/04/13/125880]

For calculations in Data, the data available on https://github.com/weidemannf/thesis_code/tree/master/Mode_inference_paperI by Felix Weidemann was used.

For inference methods the R package pomp (King et al. 2016)[https://www.jstatsoft.org/article/view/v069i12] was used. Tutorials on how to use the package can be found here [https://kingaa.github.io/pomp/].

Last update: Oct 11, 2018

==========

About

This is part of the code used for the manuscript "Model selection and parameter estimation for dynamic epidemic models via iterated filtering: application to rotavirus in Germany " by T. Stocks, M. Höhle, T. Britton (2018) published in Biostatistics.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages