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:	0.13.1
Depends:	R (≥ 3.2.0), grDevices, graphics, methods, stats, utils, surveillance (≥ 1.14.0)
Suggests:	MASS, lattice, gridExtra, scales, numDeriv
Published:	2020-03-20
Author:	Sebastian Meyer [aut, cre], Leonhard Held [ctb, ths]
Maintainer:	Sebastian Meyer <seb.meyer at fau.de>
License:	GPL-2
NeedsCompilation:	no
Citation:	hhh4contacts citation info
Materials:	NEWS
CRAN checks:	hhh4contacts results

Documentation:

Reference manual:

hhh4contacts.pdf

Downloads:

Package source:	hhh4contacts_0.13.1.tar.gz
Windows binaries:	r-devel: hhh4contacts_0.13.1.zip, r-release: hhh4contacts_0.13.1.zip, r-oldrel: hhh4contacts_0.13.1.zip
macOS binaries:	r-release (arm64): hhh4contacts_0.13.1.tgz, r-oldrel (arm64): hhh4contacts_0.13.1.tgz, r-release (x86_64): hhh4contacts_0.13.1.tgz, r-oldrel (x86_64): hhh4contacts_0.13.1.tgz
Old sources:	hhh4contacts archive

Reverse dependencies:

Reverse suggests:

surveillance

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