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 | 
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