aggregateC

a square numeric contact matrix such as
<code><a rd-options="" href="/link/contactmatrix_POLYMOD?package=hhh4contacts&version=0.13.1" data-mini-rdoc="hhh4contacts::contactmatrix_POLYMOD">contactmatrix_POLYMOD</a></code>.

specification of how to aggregate groups (a named list or
an integer vector of group sizes) using <code><a rd-options="" href="/link/aggregateC?package=hhh4contacts&version=0.13.1" data-mini-rdoc="hhh4contacts::aggregateC">aggregateC</a></code> with the
<code>"agedistri"</code> attribute of the contact matrix as weights.
If <code>NULL</code>, the original 5-year intervals are returned.
The default setting produces the six age groups of Meyer and Held (2017).

grouping

specification of how to aggregate groups (alternative to using a
named list as the <code>grouping</code> argument).

a named numeric vector containing the weights for the rows of
<code>C</code>, typically the age distribution of the participants. The names
are matched against <code>rownames(C)</code>. A value of <code>NULL</code> is
interpreted as uniform weights.

weights

The (age) groups of a contact matrix can be joined together by the
<code>grouping</code> argument, which first sums over contact groups (columns) and
then averages over the corresponding participant groups (rows), optionally
using weights such as the age distribution of the study participants.

manip

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

aggregateC function

<dl><dt>C</dt>
<dd>a square numeric contact matrix such as
<code>contactmatrix_POLYMOD</code>.</dd>
<dt>grouping</dt>
<dd>specification of how to aggregate groups (a named list or
an integer vector of group sizes) using <code>aggregateC</code> with the
<code>"agedistri"</code> attribute of the contact matrix as weights.
If <code>NULL</code>, the original 5-year intervals are returned.
The default setting produces the six age groups of Meyer and Held (2017).</dd>
<dt>...</dt>
<dd>specification of how to aggregate groups (alternative to using a
named list as the <code>grouping</code> argument).</dd>
<dt>weights</dt>
<dd>a named numeric vector containing the weights for the rows of
<code>C</code>, typically the age distribution of the participants. The names
are matched against <code>rownames(C)</code>. A value of <code>NULL</code> is
interpreted as uniform weights.</dd></dl>

Arguments

Author

Aggregate a Contact Matrix — aggregateC

<dl>

<dt>C</dt>
<dd>a square numeric contact matrix such as
<code>contactmatrix_POLYMOD</code>.</dd>


<dt>grouping</dt>
<dd>specification of how to aggregate groups (a named list or
an integer vector of group sizes) using <code>aggregateC</code> with the
<code>"agedistri"</code> attribute of the contact matrix as weights.
If <code>NULL</code>, the original 5-year intervals are returned.
The default setting produces the six age groups of Meyer and Held (2017).</dd>


<dt>...</dt>
<dd>specification of how to aggregate groups (alternative to using a
named list as the <code>grouping</code> argument).</dd>


<dt>weights</dt>
<dd>a named numeric vector containing the weights for the rows of
<code>C</code>, typically the age distribution of the participants. The names
are matched against <code>rownames(C)</code>. A value of <code>NULL</code> is
interpreted as uniform weights.</dd>

</dl>

aggregateC: Aggregate a Contact Matrix

Description

Usage

Arguments

Author