plotHHH4_fitted_groups

Fitted mean components for age-structured, areal time series
<code>hhh4</code> models can be aggregated over districts or 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_fitted_groups function

<dl><dt>x</dt>
<dd>an object of class <code>"hhh4"</code>.</dd>
<dt>groups</dt>
<dd>a factor of grouping the units in the model, i.e., it must be
of length <code>x$nUnit</code>. There will be one plot for each factor level.</dd>
<dt>total</dt>
<dd>a logical indicating if the group-wise mean components should
be subsequently summed up over all <code>groups</code> for an overall plot.</dd>
<dt>decompose, ...</dt>
<dd>see <code>plotHHH4_fitted</code>.</dd></dl>

Arguments

Plot Mean Components of a hhh4 Fit by Group — plotHHH4_fitted_groups

<dl>

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


<dt>groups</dt>
<dd>a factor of grouping the units in the model, i.e., it must be
of length <code>x$nUnit</code>. There will be one plot for each factor level.</dd>


<dt>total</dt>
<dd>a logical indicating if the group-wise mean components should
be subsequently summed up over all <code>groups</code> for an overall plot.</dd>


<dt>decompose, ...</dt>
<dd>see <code>plotHHH4_fitted</code>.</dd>

</dl>

plotHHH4_fitted_groups: Plot Mean Components of a `hhh4` Fit by Group

Description

Usage

Value

Arguments