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:
Downloads:
Reverse dependencies:
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