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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 &lt;- mkinfit(&quot;FOMC&quot;, FOCUS_2006_C, quiet = TRUE)
- fit.iore &lt;- mkinfit(&quot;IORE&quot;, FOCUS_2006_C, quiet = TRUE)
- fit.iore.deS &lt;- mkinfit(&quot;IORE&quot;, FOCUS_2006_C, solution_type = &quot;deSolve&quot;, quiet = TRUE)
-
- print(data.frame(coef(fit.fomc), coef(fit.iore), coef(fit.iore.deS),
- row.names = paste(&quot;model par&quot;, 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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