Learn R Programming

⚠️There's a newer version (0.13.4) of this package.Take me there.

hhh4contacts (version 0.13.3)

Age-Structured Spatio-Temporal Models for Infectious Disease Counts

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")'.

Copy Link

Version

Install

install.packages('hhh4contacts')

Monthly Downloads

304

Version

0.13.3

License

GPL-2

Maintainer

Sebastian Meyer

Last Published

November 6th, 2023

Functions in hhh4contacts (0.13.3)

plotHHH4_season_groups

Plot Seasonality of a hhh4 Fit by Group

Estimate the Power of the Contact Matrix in a "hhh4" Model

Group-Dependent Parametric Weights

POLYMOD Contact Matrices for Germany

Compute the DSS on Aggregated Predictions and Observations

Adapt a Transition Matrix to a Specific Stationary Distribution

Adapt a Contact Matrix to Population Fractions

Expand the Contact Matrix over Regions

plotHHH4_fitted_groups

Plot Mean Components of a hhh4 Fit by Group

Exponentiate a Matrix via Eigendecomposition

Hook functions for stsplot_time1

plotHHH4_maps_groups

Plot Mean Components of a hhh4 Fit by District Averaged Over Time

Stationary Distribution of a Transition Matrix

Generate an Image of a Contact Matrix

Create "sts" Objects from the Berlin Norovirus Data

aggregateCountsArray

Aggregate an Array of Counts wrt One Dimension (Stratum)

Aggregate a Contact Matrix

Subset an Array in one Dimension

Berlin and German Population by Age Group, 2011