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<h1> Indeterminate order rate equation kinetics </h1>
<div class="row">
<div class="span8">
<h2>Usage</h2>
<pre><div>IORE.solution(t, parent.0, k__iore, N)</div></pre>
<h2>Arguments</h2>
<dl>
<dt>t</dt>
<dd> Time. </dd>
<dt>parent.0</dt>
<dd> Starting value for the response variable at time zero. </dd>
<dt>k__iore</dt>
<dd> Rate constant. Note that this depends on the concentration units used. </dd>
<dt>N</dt>
<dd> Exponent describing the nonlinearity of the rate equation </dd>
</dl>
<div class="Description">
<h2>Description</h2>
<p>Function describing exponential decline from a defined starting value, with
a concentration dependent rate constant.</p>
</div>
<div class="Note">
<h2>Note</h2>
<p>The solution of the IORE kinetic model reduces to the
<code><a href='SFO.solution.html'>SFO.solution</a></code> if N = 1.
The parameters of the IORE model can be transformed to equivalent parameters
of the FOMC mode - see the NAFTA guidance for details.</p>
</div>
<div class="Value">
<h2>Value</h2>
<p><dl>
The value of the response variable at time <code>t</code>.
</dl></p>
</div>
<div class="References">
<h2>References</h2>
<p>NAFTA Technical Working Group on Pesticides (not dated) Guidance for
Evaluating and Calculating Degradation Kinetics in Environmental
Media</p>
</div>
<h2 id="examples">Examples</h2>
<pre class="examples"><div class='input'> plot(function(x) IORE.solution(x, 100, 0.2, 1.3), 0, 2,
ylim = c(0, 100))
</div>
<p><img src='IORE.solution-2.png' alt='' width='540' height='400' /></p>
<div class='input'> fit.fomc <- mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE)
fit.iore <- mkinfit("IORE", FOCUS_2006_C, quiet = TRUE)
fit.iore.deS <- mkinfit("IORE", FOCUS_2006_C, solution_type = "deSolve", quiet = TRUE)
print(data.frame(coef(fit.fomc), coef(fit.iore), coef(fit.iore.deS),
row.names = paste("model par", 1:3)))
</div>
<div class='output'> coef.fit.fomc. coef.fit.iore. coef.fit.iore.deS.
model par 1 85.87489063 85.874891 85.874890
model par 2 0.05192238 -4.826631 -4.826631
model par 3 0.65096665 1.949403 1.949403
</div>
<div class='input'> print(rbind(fomc = endpoints(fit.fomc)$distimes, iore = endpoints(fit.iore)$distimes,
iore.deS = endpoints(fit.iore)$distimes))
</div>
<div class='output'> DT50 DT90 DT50back
fomc 1.785233 15.1479 4.559973
iore 1.785233 15.1479 4.559973
iore.deS 1.785233 15.1479 4.559973
</div></pre>
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