step_PTS

Make a function closure to implement a Poisson time-step (tau-leaping with fixed tau)
sampler for a SPN.

A simulation modeling framework which significantly extends capabilities from the
'MGDrivE' simulation package via a new mathematical and computational framework based on stochastic Petri nets.
For more information about 'MGDrivE', see our publication: Sánchez et al. (2019) <doi:10.1111/2041-210X.13318>
Some of the notable capabilities of 'MGDrivE2' include: incorporation of human populations,
epidemiological dynamics, time-varying parameters, and a continuous-time simulation
framework with various sampling algorithms for both deterministic and stochastic interpretations.
'MGDrivE2' relies on the genetic inheritance structures provided in package 'MGDrivE', so we
suggest installing that package initially.

Agastya Mondal

MGDrivE2

Mosquito Gene Drive Explorer 2

Sean L. Wu

Jared B. Bennett

Héctor Manuel Sánchez Castellanos

Tomás M. León

Andrew J. Dolgert

John M. Marshall

step_PTS function

<dl><dt>S</dt>
<dd>a stoichiometry <code><a href="/link/Matrix-class?package=MGDrivE2&version=2.1.0" data-mini-rdoc="MGDrivE2::Matrix-class">Matrix-class</a></code> object</dd>
<dt>Sout</dt>
<dd>an optional matrix to track of event firings</dd>
<dt>haz</dt>
<dd>a list of hazard functions</dd>
<dt>dt</dt>
<dd>time-step for tau-leap method</dd>
<dt>maxhaz</dt>
<dd>maximum allowable hazard</dd></dl>

Arguments

Make Poisson Time-Step (PTS) Sampler for a SPN Model — step_PTS

<dl>

<dt>S</dt>
<dd>a stoichiometry <code><a href='https://rdrr.io/pkg/Matrix/man/Matrix-class.html'>Matrix-class</a></code> object</dd>


<dt>Sout</dt>
<dd>an optional matrix to track of event firings</dd>


<dt>haz</dt>
<dd>a list of hazard functions</dd>


<dt>dt</dt>
<dd>time-step for tau-leap method</dd>


<dt>maxhaz</dt>
<dd>maximum allowable hazard</dd>

</dl>

step_PTS: Make Poisson Time-Step (PTS) Sampler for a SPN Model

Description

Usage

Value

Arguments

Details