Package: hhh4contacts 0.13.4

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")'.

Authors:Sebastian Meyer [aut, cre], Leonhard Held [ctb, ths]

hhh4contacts_0.13.4.tar.gz
hhh4contacts_0.13.4.zip(r-4.7)hhh4contacts_0.13.4.zip(r-4.6)hhh4contacts_0.13.4.zip(r-4.5)
hhh4contacts_0.13.4.tgz(r-4.6-any)hhh4contacts_0.13.4.tgz(r-4.5-any)
hhh4contacts_0.13.4.tar.gz(r-4.7-any)hhh4contacts_0.13.4.tar.gz(r-4.6-any)
hhh4contacts_0.13.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hhh4contacts/json (API)

# Install 'hhh4contacts' in R:
install.packages('hhh4contacts', repos = c('https://bastistician.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://codeberg.org/ee-hub/hhh4contacts

Datasets:

On CRAN:

Conda:

3.11 score 26 scripts 274 downloads 1 mentions 18 exports 14 dependencies

Last updated from:3eb3f608e0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK121
source / vignettesOK154
linux-release-x86_64OK141
macos-release-arm64OK417
macos-oldrel-arm64OK278
windows-develOK109
windows-releaseOK90
windows-oldrelOK101
wasm-releaseOK98

Exports:adaptPaddGroups2WFUNaggregateCaggregateCountsArrayC2popcontactmatrixdssAggregateexpandCfitCmake_powerCnoroBEplotCplotHHH4_fitted_groupsplotHHH4_maps_groupsplotHHH4_season_groupsstationarystratumstsplothook_highlight

Dependencies:deldirlatticeMASSMatrixnlmepolyclippolyCubspspatstat.dataspatstat.geomspatstat.univarspatstat.utilssurveillancextable