exposure_table

Returns the Central Exposure-to-Risk for given ages groups and time period.
The central Exposure-to-risk is computed as the sum of the time spent by individuals in a given age group over a given period, where age is the age at last birthday.

Simulation of the random evolution of structured population dynamics, called stochastic Individual Based Models (IBMs) (see e.g. Ferrière and Tran (2009) <doi:10.1051/proc/2009033>, Bansaye and Méléard (2015) <doi:10.1007/978-3-319-21711-6>, Boumezoued (2016)).
The package allows users to simulate the random evolution of a population in which individuals are characterised by their date of birth, a set of attributes, and their potential date of death.

Daphnc3<a9> Giorgi

IBMPopSim

Individual Based Model Population Simulation

Daphné Giorgi

Sarah Kaakai

Vincent Lemaire

exposure_table function

<dl><dt>pop_df</dt>
<dd>Population data frame containing at least <code>'birth'</code> and <code>'death'</code> columns.</dd>
<dt>ages</dt>
<dd>A vector of size <code>N</code> composed of age groups.</dd>
<dt>period</dt>
<dd>A vector of size <code>M</code> composed of time intervals.</dd></dl>

Arguments

Exposure table — exposure_table

<dl>

<dt>pop_df</dt>
<dd>Population data frame containing at least <code>'birth'</code> and <code>'death'</code> columns.</dd>


<dt>ages</dt>
<dd>A vector of size <code>N</code> composed of age groups.</dd>


<dt>period</dt>
<dd>A vector of size <code>M</code> composed of time intervals.</dd>

</dl>

exposure_table: Exposure table

Description

Usage

Value

Arguments

Details

Examples