The Handbook of Infectious Disease Data Analysis ("HIDDA") contains a chapter on "Forecasting Based on Surveillance Data". The R package 'HIDDA.forecasting' provides the data and code to reproduce results from the two applications described in that chapter (see the corresponding vignettes): Univariate forecasting of Swiss ILI counts using 'forecast', 'glarma', 'surveillance' and 'prophet', and an age-stratified analysis of norovirus gastroenteritis in Berlin using the multivariate time-series model implemented in surveillance::hhh4().
Package details |
|
---|---|
Maintainer | |
License | GPL (>= 2) |
Version | 1.1.2 |
URL | https://hidda.github.io/forecasting/ https://github.com/HIDDA/forecasting |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.