plotHHH4_maps_groups

This is a wrapper for <code>plotHHH4_maps</code> with prior aggregation
over different (age) groups.

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")'.

Sebastian Meyer

hhh4contacts

Age-Structured Spatio-Temporal Models for Infectious Disease
Counts

Leonhard Held

plotHHH4_maps_groups function

<dl><dt>x</dt>
<dd>an object of class <code>"hhh4"</code>.</dd>
<dt>map</dt>
<dd>an object inheriting from <code>"SpatialPolygons"</code>.</dd>
<dt>districts</dt>
<dd>a factor of length <code>x$nUnit</code> with as many levels as
there are districts and names according to <code>row.names(map)</code>.</dd>
<dt>...</dt>
<dd>arguments passed to <code>plotHHH4_maps</code>.</dd></dl>

Arguments

Plot Mean Components of a hhh4 Fit by District Averaged Over Time — plotHHH4_maps_groups

<dl>

<dt>x</dt>
<dd>an object of class <code>"hhh4"</code>.</dd>


<dt>map</dt>
<dd>an object inheriting from <code>"SpatialPolygons"</code>.</dd>


<dt>districts</dt>
<dd>a factor of length <code>x$nUnit</code> with as many levels as
there are districts and names according to <code>row.names(map)</code>.</dd>


<dt>...</dt>
<dd>arguments passed to <code>plotHHH4_maps</code>.</dd>

</dl>

plotHHH4_maps_groups: Plot Mean Components of a `hhh4` Fit by District Averaged Over Time

Description

Usage

Value

Arguments