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authorJohannes Ranke <jranke@uni-bremen.de>2019-10-25 02:10:08 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2019-10-25 02:10:08 +0200
commitaf2e1540cdad2fd00bb6216a38a754ff748629ad (patch)
tree9ec5d1ff3050c9fa826636536fc60dbda9edb1e4 /docs/reference/transform_odeparms.html
parent0a3eb0893cb4bd1b12f07a79069d1c7f5e991495 (diff)
Static documentation rebuilt by pkgdown
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-rw-r--r--docs/reference/transform_odeparms.html119
1 files changed, 64 insertions, 55 deletions
diff --git a/docs/reference/transform_odeparms.html b/docs/reference/transform_odeparms.html
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--- a/docs/reference/transform_odeparms.html
+++ b/docs/reference/transform_odeparms.html
@@ -8,11 +8,13 @@
<title>Functions to transform and backtransform kinetic parameters for fitting — transform_odeparms • mkin</title>
+
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<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js" integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8=" crossorigin="anonymous"></script>
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@@ -32,21 +34,19 @@
-<meta property="og:title" content="Functions to transform and backtransform kinetic parameters for fitting — transform_odeparms" />
-<meta property="og:description" content="The transformations are intended to map parameters that should only take
- on restricted values to the full scale of real numbers. For kinetic rate
- constants and other paramters that can only take on positive values, a
- simple log transformation is used. For compositional parameters, such as
- the formations fractions that should always sum up to 1 and can not be
- negative, the ilr transformation is used.
-The transformation of sets of formation fractions is fragile, as it supposes
- the same ordering of the components in forward and backward transformation.
- This is no problem for the internal use in mkinfit." />
+<meta property="og:title" content="Functions to transform and backtransform kinetic parameters for fitting — transform_odeparms" />
+<meta property="og:description" content="The transformations are intended to map parameters that should only take on
+restricted values to the full scale of real numbers. For kinetic rate
+constants and other paramters that can only take on positive values, a
+simple log transformation is used. For compositional parameters, such as the
+formations fractions that should always sum up to 1 and can not be negative,
+the ilr transformation is used." />
<meta name="twitter:card" content="summary" />
+
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@@ -117,7 +117,6 @@ The transformation of sets of formation fractions is fragile, as it supposes
<a href="../news/index.html">News</a>
</li>
</ul>
-
<ul class="nav navbar-nav navbar-right">
</ul>
@@ -139,71 +138,80 @@ The transformation of sets of formation fractions is fragile, as it supposes
</div>
<div class="ref-description">
-
- <p>The transformations are intended to map parameters that should only take
- on restricted values to the full scale of real numbers. For kinetic rate
- constants and other paramters that can only take on positive values, a
- simple log transformation is used. For compositional parameters, such as
- the formations fractions that should always sum up to 1 and can not be
- negative, the <code><a href='ilr.html'>ilr</a></code> transformation is used.</p>
-<p>The transformation of sets of formation fractions is fragile, as it supposes
- the same ordering of the components in forward and backward transformation.
- This is no problem for the internal use in <code><a href='mkinfit.html'>mkinfit</a></code>.</p>
-
+ <p>The transformations are intended to map parameters that should only take on
+restricted values to the full scale of real numbers. For kinetic rate
+constants and other paramters that can only take on positive values, a
+simple log transformation is used. For compositional parameters, such as the
+formations fractions that should always sum up to 1 and can not be negative,
+the <code><a href='ilr.html'>ilr</a></code> transformation is used.</p>
</div>
- <pre class="usage"><span class='fu'>transform_odeparms</span>(<span class='no'>parms</span>, <span class='no'>mkinmod</span>,
- <span class='kw'>transform_rates</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>transform_fractions</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
-<span class='fu'>backtransform_odeparms</span>(<span class='no'>transparms</span>, <span class='no'>mkinmod</span>,
- <span class='kw'>transform_rates</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>transform_fractions</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</pre>
-
+ <pre class="usage"><span class='fu'>transform_odeparms</span>(<span class='no'>parms</span>, <span class='no'>mkinmod</span>, <span class='kw'>transform_rates</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
+ <span class='kw'>transform_fractions</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
+
+<span class='fu'>backtransform_odeparms</span>(<span class='no'>transparms</span>, <span class='no'>mkinmod</span>, <span class='kw'>transform_rates</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
+ <span class='kw'>transform_fractions</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</pre>
+
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>parms</th>
- <td><p>Parameters of kinetic models as used in the differential equations.</p></td>
- </tr>
- <tr>
- <th>transparms</th>
- <td><p>Transformed parameters of kinetic models as used in the fitting procedure.</p></td>
+ <td><p>Parameters of kinetic models as used in the differential
+equations.</p></td>
</tr>
<tr>
<th>mkinmod</th>
- <td><p>The kinetic model of class <code><a href='mkinmod.html'>mkinmod</a></code>, containing the names of
- the model variables that are needed for grouping the formation fractions
- before <code><a href='ilr.html'>ilr</a></code> transformation, the parameter names and
- the information if the pathway to sink is included in the model.</p></td>
+ <td><p>The kinetic model of class <code><a href='mkinmod.html'>mkinmod</a></code>, containing
+the names of the model variables that are needed for grouping the
+formation fractions before <code><a href='ilr.html'>ilr</a></code> transformation, the parameter
+names and the information if the pathway to sink is included in the model.</p></td>
</tr>
<tr>
<th>transform_rates</th>
- <td><p>Boolean specifying if kinetic rate constants should be transformed in the
- model specification used in the fitting for better compliance with the
- assumption of normal distribution of the estimator. If TRUE, also
- alpha and beta parameters of the FOMC model are log-transformed, as well
- as k1 and k2 rate constants for the DFOP and HS models and the break point tb
- of the HS model.</p></td>
+ <td><p>Boolean specifying if kinetic rate constants should
+be transformed in the model specification used in the fitting for better
+compliance with the assumption of normal distribution of the estimator. If
+TRUE, also alpha and beta parameters of the FOMC model are
+log-transformed, as well as k1 and k2 rate constants for the DFOP and HS
+models and the break point tb of the HS model.</p></td>
</tr>
<tr>
<th>transform_fractions</th>
- <td><p>Boolean specifying if formation fractions constants should be transformed in the
- model specification used in the fitting for better compliance with the
- assumption of normal distribution of the estimator. The default (TRUE) is
- to do transformations. The g parameter of the DFOP and HS models are also
- transformed, as they can also be seen as compositional data. The
- transformation used for these transformations is the <code><a href='ilr.html'>ilr</a></code>
- transformation.</p></td>
+ <td><p>Boolean specifying if formation fractions
+constants should be transformed in the model specification used in the
+fitting for better compliance with the assumption of normal distribution
+of the estimator. The default (TRUE) is to do transformations. The g
+parameter of the DFOP and HS models are also transformed, as they can also
+be seen as compositional data. The transformation used for these
+transformations is the <code><a href='ilr.html'>ilr</a></code> transformation.</p></td>
+ </tr>
+ <tr>
+ <th>transparms</th>
+ <td><p>Transformed parameters of kinetic models as used in the
+fitting procedure.</p></td>
</tr>
</table>
-
+
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
- <p>A vector of transformed or backtransformed parameters with the same names
- as the original parameters.</p>
+ <p>A vector of transformed or backtransformed parameters with the same
+ names as the original parameters.</p>
+ <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
+
+ <p>The transformation of sets of formation fractions is fragile, as it supposes
+the same ordering of the components in forward and backward transformation.
+This is no problem for the internal use in <code><a href='mkinfit.html'>mkinfit</a></code>.</p>
+ <h2 class="hasAnchor" id="functions"><a class="anchor" href="#functions"></a>Functions</h2>
+
+<ul>
+<li><p><code>backtransform_odeparms</code>: Backtransform the set of transformed parameters</p></li>
+</ul>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
- <pre class="examples"><div class='input'><span class='no'>SFO_SFO</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(
+ <pre class="examples"><div class='input'>
+<span class='no'>SFO_SFO</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(
<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='st'>"m1"</span>, <span class='kw'>sink</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>),
<span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>))</div><div class='output co'>#&gt; <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='co'># Fit the model to the FOCUS example dataset D using defaults</span>
<span class='no'>fit</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='no'>fit.s</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span>(<span class='no'>fit</span>)
@@ -278,15 +286,16 @@ The transformation of sets of formation fractions is fragile, as it supposes
#&gt; k_parent 0.0635 0.00521 12.19 2.91e-14 0.0538 0.075
#&gt; k_m1 0.0148 0.00182 8.13 8.81e-10 0.0115 0.019
#&gt; sigma 8.2229 0.94323 8.72 1.73e-10 6.3060 10.140</div><div class='input'># }
+
</div></pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
<h2>Contents</h2>
<ul class="nav nav-pills nav-stacked">
<li><a href="#arguments">Arguments</a></li>
-
<li><a href="#value">Value</a></li>
-
+ <li><a href="#details">Details</a></li>
+ <li><a href="#functions">Functions</a></li>
<li><a href="#examples">Examples</a></li>
</ul>

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