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✨
card.svg |card.png
hhh4contacts/json (API)
NEWS

# 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:

3.06 score 23 scripts 299 downloads 1 mentions 18 exports 14 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK142
source / vignettesOK162
linux-release-x86_64OK160
macos-release-arm64OK149
macos-oldrel-arm64OK200
windows-develOK112
windows-releaseOK95
windows-oldrelOK89
wasm-releaseOK82

Exports:adaptPaddGroups2WFUNaggregateCaggregateCountsArrayC2popcontactmatrixdssAggregateexpandCfitCmake_powerCnoroBEplotCplotHHH4_fitted_groupsplotHHH4_maps_groupsplotHHH4_season_groupsstationarystratumstsplothook_highlight

Dependencies:deldirlatticeMASSMatrixnlmepolyclippolyCubspspatstat.dataspatstat.geomspatstat.univarspatstat.utilssurveillancextable