Nothing
hhh4contacts: Age-Structured Spatio-Temporal Models for Infectious Disease Counts
Meyer and Held (2017) <doi:10.1093/biostatistics/kxw051> present an age-structured spatio-temporal model for infectious disease counts. The approach is illustrated in a case study on norovirus gastroenteritis in Berlin, 2011-2015, by age group, city district and week, using additional contact data from the POLYMOD survey. This package contains the data and code to reproduce the results from the paper, see 'demo("hhh4contacts")'.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Sebastian Meyer [aut, cre] (<https://orcid.org/0000-0002-1791-9449>), Leonhard Held [ctb, ths] |
| Maintainer | Sebastian Meyer <seb.meyer@fau.de> |
| License | GPL-2 |
| Version | 0.13.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the hhh4contacts package in your browser
Any scripts or data that you put into this service are public.
