impute_contact_ages

Imputes contact survey data, where variables are named:
"cnt_age_est_min" and "cnt_age_est_max". Uses mean imputation, sampling
(hot deck), or leaves them as missing. These are controlled by the
<code>estimate</code> argument.

internal

Provides 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

Maria Bekker-Nielsen Dunbar

Carl A. B. Pearson

Sam Clifford

Christopher Jarvis

Alexis Robert

Niel Hens

Pietro Coletti

Lloyd Chapman

impute_contact_ages function

<dl><dt>contacts</dt>
<dd>a survey data set of contacts</dd>
<dt>estimate</dt>
<dd>if set to "mean" (default), contacts whose ages are given as
a range (in columns named "..._est_min" and "..._est_max") but not exactly
(in a column named "..._exact") will have their age set to the mid-point of
the range; if set to "sample", the age will be sampled from the range; if
set to "missing", age ranges will be treated as missing</dd></dl>

Arguments

Impute contact ages — impute_contact_ages

<dl>

<dt>contacts</dt>
<dd>a survey data set of contacts</dd>


<dt>estimate</dt>
<dd>if set to "mean" (default), contacts whose ages are given as
a range (in columns named "..._est_min" and "..._est_max") but not exactly
(in a column named "..._exact") will have their age set to the mid-point of
the range; if set to "sample", the age will be sampled from the range; if
set to "missing", age ranges will be treated as missing</dd>

</dl>

Impute contact ages

impute_contact_ages: Impute contact ages

Description

Usage

Value

Arguments