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]

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hhh4contacts.pdf |hhh4contacts.html✨
hhh4contacts/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

3.45 score 19 scripts 478 downloads 1 mentions 18 exports 14 dependencies

Last updated 2 months agofrom:3eb3f608e0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:adaptPaddGroups2WFUNaggregateCaggregateCountsArrayC2popcontactmatrixdssAggregateexpandCfitCmake_powerCnoroBEplotCplotHHH4_fitted_groupsplotHHH4_maps_groupsplotHHH4_season_groupsstationarystratumstsplothook_highlight

Dependencies:deldirlatticeMASSMatrixnlmepolyclippolyCubspspatstat.dataspatstat.geomspatstat.univarspatstat.utilssurveillancextable