toggles_to_diss_stats

Convert Matrix of Toggles to Dissolution and Duration Statistics

internal

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

toggles_to_diss_stats function

<dl><dt>toggles</dt>
<dd>A matrix of toggles, as produced by
<code>tedgelist_to_toggles</code>.</dd>
<dt>coef.diss</dt>
<dd>Dissolution coefficients used in the simulation.</dd>
<dt>nsteps</dt>
<dd>Number of time steps in the simulation.</dd>
<dt>nw</dt>
<dd>Network used in the simulation.</dd>
<dt>time.start</dt>
<dd>Starting time for the simulation.</dd></dl>

Arguments

Convert Matrix of Toggles to Dissolution and Duration Statistics — toggles_to_diss_stats

<dl>

<dt>toggles</dt>
<dd>A matrix of toggles, as produced by
<code>tedgelist_to_toggles</code>.</dd>


<dt>coef.diss</dt>
<dd>Dissolution coefficients used in the simulation.</dd>


<dt>nsteps</dt>
<dd>Number of time steps in the simulation.</dd>


<dt>nw</dt>
<dd>Network used in the simulation.</dd>


<dt>time.start</dt>
<dd>Starting time for the simulation.</dd>

</dl>

toggles_to_diss_stats: Convert Matrix of Toggles to Dissolution and Duration Statistics

Description

Usage

Value

Arguments