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hhh4contacts
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Download and install hhh4contacts package within the R console
Install from CRAN:
install.packages("hhh4contacts")
Install from Github:
library("remotes")
install_github("cran/hhh4contacts") Install by package version:
library("remotes")
install_version("hhh4contacts", "0.13.4") Attach the package and use:
library("hhh4contacts")
Maintained by
Sebastian Meyer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-30
Latest Update: 2024-10-07
Description:
Meyer and Held (2017) 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")'.
How to cite:
Sebastian Meyer (2017). hhh4contacts: Age-Structured Spatio-Temporal Models for Infectious Disease Counts. R package version 0.13.4, https://cran.r-project.org/web/packages/hhh4contacts. Accessed 29 Sep. 2026.
Previous versions and publish date:
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Complete documentation for hhh4contacts
Functions, R codes and Examples using
the hhh4contacts R package
Some associated functions: C2pop . adaptP . addGroups2WFUN . aggregateC . aggregateCountsArray . contactmatrix . dssAggregate . expandC . fitC . noroBE . plotC . plotHHH4_fitted_groups . plotHHH4_maps_groups . plotHHH4_season_groups . pop2011 . powerC . stationary . stratum . stsplothook . subset.array .
Some associated R codes: C2pop.R . addGroups2WFUN.R . aggregateCountsArray.R . contactmatrix.R . dssAggregate.R . fitC.R . grouping2list.R . noroBE.R . plotC.R . plotHHH4.R . powerC.R . rowSumsBy.R . stratum.R . stsplothook.R . Full hhh4contacts package functions and examples
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