set_current_timestep

Changes the current timestep in the <code>dat</code> object. Use with
 caution. This function exists to workaround unforseen corner
 cases. In most situation, <code>increment_timestep</code> should be
 prefered

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

Skye Bender-deMoll

Chad Klumb

set_current_timestep function

<dl><dt>dat</dt>
<dd>a Master list object of network models</dd>
<dt>timestep</dt>
<dd>the new value for the timestep</dd></dl>

Arguments

This DOES NOT modify the dat 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

Sets the Current Timestep — set_current_timestep

<dl>

<dt>dat</dt>
<dd>a Master list object of network models</dd>


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

</dl>

This DOES NOT modify the dat 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: Sets the Current Timestep

Description

Usage

Value

Arguments

Mutability