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/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:

3.63 score 17 scripts 385 downloads 1 mentions 18 exports 14 dependencies

Last updated 30 days agofrom:3eb3f608e0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-winOKOct 09 2024
R-4.5-linuxOKOct 09 2024
R-4.4-winOKOct 09 2024
R-4.4-macOKOct 09 2024
R-4.3-winOKOct 09 2024
R-4.3-macOKOct 09 2024

Exports:adaptPaddGroups2WFUNaggregateCaggregateCountsArrayC2popcontactmatrixdssAggregateexpandCfitCmake_powerCnoroBEplotCplotHHH4_fitted_groupsplotHHH4_maps_groupsplotHHH4_season_groupsstationarystratumstsplothook_highlight

Dependencies:deldirlatticeMASSMatrixnlmepolyclippolyCubspspatstat.dataspatstat.geomspatstat.univarspatstat.utilssurveillancextable