normalise_weights

Normalises participant weights within groups so that they sum to the number
of participants in each group. Optionally truncates extreme weights to a
threshold and re-normalises.

internal

Methods for sampling contact matrices from diary data for
use in infectious disease modelling, as discussed in Mossong et al.
(2008) <doi:10.1371/journal.pmed.0050074>.

Sebastian Funk

socialmixr

Social Mixing Matrices for Infectious Disease Modelling

Lander Willem

Hugo Gruson

Nicholas Tierney

Maria Bekker-Nielsen Dunbar

Carl A. B. Pearson

Sam Clifford

Christopher Jarvis

Alexis Robert

Niel Hens

Pietro Coletti

Lloyd Chapman

normalise_weights function

<dl><dt>participants</dt>
<dd>participant data.table with a <code>weight</code> column</dd>
<dt>by</dt>
<dd>character; column name(s) to group by (default "age.group")</dd>
<dt>threshold</dt>
<dd>numeric; if provided, weights above this value are capped
and the weights are re-normalised (default NULL)</dd></dl>

Arguments

Post-stratification weight normalisation — normalise_weights

<dl>

<dt>participants</dt>
<dd>participant data.table with a <code>weight</code> column</dd>


<dt>by</dt>
<dd>character; column name(s) to group by (default "age.group")</dd>


<dt>threshold</dt>
<dd>numeric; if provided, weights above this value are capped
and the weights are re-normalised (default NULL)</dd>

</dl>

Post-stratification weight normalisation

normalise_weights: Post-stratification weight normalisation

Description

Usage

Value

Arguments