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")'.
| Version: |
0.13.4 |
| Depends: |
R (≥ 3.2.0), grDevices, graphics, methods, stats, utils, surveillance (≥ 1.14.0) |
| Imports: |
sp |
| Suggests: |
MASS, lattice, gridExtra |
| Published: |
2024-10-07 |
| DOI: |
10.32614/CRAN.package.hhh4contacts |
| Author: |
Sebastian Meyer 
[aut, cre],
Leonhard Held
[ctb, ths] |
| Maintainer: |
Sebastian Meyer <seb.meyer at fau.de> |
| BugReports: |
https://codeberg.org/EE-hub/hhh4contacts/issues |
| License: |
GPL-2 |
| URL: |
https://codeberg.org/EE-hub/hhh4contacts |
| NeedsCompilation: |
no |
| Citation: |
hhh4contacts citation info |
| Materials: |
NEWS |
| CRAN checks: |
hhh4contacts results |
Documentation:
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