set_current_timestep

Changes the current timestep in the <code>dat</code> object. Use with
caution. This function exists to work around unforeseen corner
cases. In most situation, <code>increment_timestep</code> is
preferred.

Tools for simulating mathematical models of infectious disease dynamics.
Epidemic model classes include deterministic compartmental models, stochastic
individual-contact models, and stochastic network models. Network models use the
robust statistical methods of exponential-family random graph models (ERGMs)
from the Statnet suite of software packages in R. Standard templates for epidemic
modeling include SI, SIR, and SIS disease types. EpiModel features an API for
extending these templates to address novel scientific research aims. Full
methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).

Samuel Jenness

EpiModel

Mathematical Modeling of Infectious Disease Dynamics

Steven M. Goodreau

Martina Morris

Adrien Le Guillou

Chad Klumb

Skye Bender-deMoll

set_current_timestep function

<dl><dt>dat</dt>
<dd>Main list object containing a <code>networkDynamic</code> object and
other initialization information passed from <code>netsim</code>.</dd>
<dt>timestep</dt>
<dd>The new value for the timestep.</dd></dl>

Arguments

This DOES NOT modify the <code>dat</code> object in place. The result must be
assigned back to <code>dat</code> in order to be registered:
<code>dat &lt;- increment_timestep(dat)</code>.

Mutability

Set the Current Timestep — set_current_timestep

<dl>

<dt>dat</dt>
<dd>Main list object containing a <code>networkDynamic</code> object and
other initialization information passed from <code>netsim</code>.</dd>


<dt>timestep</dt>
<dd>The new value for the timestep.</dd>

</dl>

This DOES NOT modify the <code>dat</code> object in place. The result must be
assigned back to <code>dat</code> in order to be registered:
<code>dat &lt;- increment_timestep(dat)</code>.

set_current_timestep: Set the Current Timestep

Description

Usage

Value

Arguments

Mutability