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1 files changed, 94 insertions, 70 deletions
diff --git a/docs/reference/confint.mkinfit.html b/docs/reference/confint.mkinfit.html
index 1dd6288b..7658a572 100644
--- a/docs/reference/confint.mkinfit.html
+++ b/docs/reference/confint.mkinfit.html
@@ -10,23 +10,27 @@
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@@ -44,7 +48,6 @@ parameter. The 'profile' method uses two nested optimisations and can take a
very long time, even if parallelized by specifying 'cores' on unixoid
platforms. The speed of the method could likely be improved by using the
method of Venzon and Moolgavkar (1988)." />
-<meta name="twitter:card" content="summary" />
@@ -62,7 +65,7 @@ method of Venzon and Moolgavkar (1988)." />
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- <body>
+ <body data-spy="scroll" data-target="#toc">
<div class="container template-reference-topic">
<header>
<div class="navbar navbar-default navbar-fixed-top" role="navigation">
@@ -76,7 +79,7 @@ method of Venzon and Moolgavkar (1988)." />
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">mkin</a>
- <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.9</span>
+ <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.50.1</span>
</span>
</div>
@@ -120,7 +123,12 @@ method of Venzon and Moolgavkar (1988)." />
</li>
</ul>
<ul class="nav navbar-nav navbar-right">
-
+ <li>
+ <a href="http://github.com/jranke/mkin/">
+ <span class="fab fa fab fa-github fa-lg"></span>
+
+ </a>
+</li>
</ul>
</div><!--/.nav-collapse -->
@@ -135,7 +143,7 @@ method of Venzon and Moolgavkar (1988)." />
<div class="col-md-9 contents">
<div class="page-header">
<h1>Confidence intervals for parameters of mkinfit objects</h1>
-
+ <small class="dont-index">Source: <a href='http://github.com/jranke/mkin/blob/master/R/confint.mkinfit.R'><code>R/confint.mkinfit.R</code></a></small>
<div class="hidden name"><code>confint.mkinfit.Rd</code></div>
</div>
@@ -212,7 +220,7 @@ their confidence intervals?</p></td>
</tr>
<tr>
<th>cores</th>
- <td><p>The number of cores to be used for multicore processing.
+ <td><p>The number of cores to be used for multicore processing.
On Windows machines, cores &gt; 1 is currently not supported.</p></td>
</tr>
<tr>
@@ -228,15 +236,15 @@ On Windows machines, cores &gt; 1 is currently not supported.</p></td>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>A matrix with columns giving lower and upper confidence limits for
- each parameter.</p>
+each parameter.</p>
<h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
<p>Bates DM and Watts GW (1988) Nonlinear regression analysis &amp; its applications</p>
<p>Pawitan Y (2013) In all likelihood - Statistical modelling and
- inference using likelihood. Clarendon Press, Oxford.</p>
+inference using likelihood. Clarendon Press, Oxford.</p>
<p>Venzon DJ and Moolgavkar SH (1988) A Method for Computing
- Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
- 87–94.</p>
+Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
+87–94.</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'><span class='no'>f</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"SFO"</span>, <span class='no'>FOCUS_2006_C</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
@@ -262,50 +270,71 @@ On Windows machines, cores &gt; 1 is currently not supported.</p></td>
<span class='no'>SFO_SFO.ff</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='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"m1"</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>),
<span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='no'>f_d_1</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span>(<span class='no'>FOCUS_2006_D</span>, <span class='no'>value</span> <span class='kw'>!=</span> <span class='fl'>0</span>), <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
-<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>ci_profile</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>))</div><div class='output co'>#&gt; <span class='error'>Error in mkinpredict.mkinmod(mkinmod, parms, odeini, outtimes, solution_type = solution_type, use_compiled = use_compiled, method.ode = method.ode, atol = atol, rtol = rtol, ...): Differential equations were not integrated for all output times because</span>
-#&gt; <span class='error'>NaN values occurred in output from ode()</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 11.39 0 11.4</span></div><div class='input'><span class='co'># Using more cores does not save much time here, as parent_0 takes up most of the time</span>
+<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>ci_profile</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>))</div><div class='output co'>#&gt; User System verstrichen
+#&gt; 3.362 0.000 3.364 </div><div class='input'><span class='co'># Using more cores does not save much time here, as parent_0 takes up most of the time</span>
<span class='co'># If we additionally exclude parent_0 (the confidence of which is often of</span>
<span class='co'># minor interest), we get a nice performance improvement from about 50</span>
<span class='co'># seconds to about 12 seconds if we use at least four cores</span>
<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>ci_profile_no_parent_0</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>,
- <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"k_parent_sink"</span>, <span class='st'>"k_parent_m1"</span>, <span class='st'>"k_m1_sink"</span>, <span class='st'>"sigma"</span>), <span class='kw'>cores</span> <span class='kw'>=</span> <span class='no'>n_cores</span>))</div><div class='output co'>#&gt; <span class='message'>Profiling the likelihood</span></div><div class='output co'>#&gt; User System verstrichen
-#&gt; 20.058 0.122 11.784 </div><div class='input'><span class='no'>ci_profile</span></div><div class='output co'>#&gt; <span class='error'>Error in eval(expr, envir, enclos): Objekt 'ci_profile' nicht gefunden</span></div><div class='input'><span class='no'>ci_quadratic_transformed</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)
-<span class='no'>ci_quadratic_transformed</span></div><div class='output co'>#&gt; 2.5% 97.5%
-#&gt; parent_0 96.403841641 1.027931e+02
-#&gt; k_parent_sink 0.041033378 5.596269e-02
-#&gt; k_parent_m1 0.046777902 5.511931e-02
-#&gt; k_m1_sink 0.004012217 6.897547e-03
-#&gt; sigma 2.396089689 3.854918e+00</div><div class='input'><span class='no'>ci_quadratic_untransformed</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>, <span class='kw'>transformed</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
-<span class='no'>ci_quadratic_untransformed</span></div><div class='output co'>#&gt; 2.5% 97.5%
-#&gt; parent_0 96.403841648 102.79312450
-#&gt; k_parent_sink 0.040485331 0.05535491
-#&gt; k_parent_m1 0.046611582 0.05494364
-#&gt; k_m1_sink 0.003835483 0.00668582
-#&gt; sigma 2.396089689 3.85491806</div><div class='input'><span class='co'># Against the expectation based on Bates and Watts (1988), the confidence</span>
+ <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"k_parent_sink"</span>, <span class='st'>"k_parent_m1"</span>, <span class='st'>"k_m1_sink"</span>, <span class='st'>"sigma"</span>), <span class='kw'>cores</span> <span class='kw'>=</span> <span class='no'>n_cores</span>))</div><div class='output co'>#&gt; <span class='message'>Profiling the likelihood</span></div><div class='output co'>#&gt; <span class='warning'>Warning: scheduled cores 1, 2, 3 encountered errors in user code, all values of the jobs will be affected</span></div><div class='output co'>#&gt; <span class='error'>Error in dimnames(x) &lt;- dn: Länge von 'dimnames' [2] ungleich der Arrayausdehnung</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 0.011 0.045 0.201</span></div><div class='input'><span class='no'>ci_profile</span></div><div class='output co'>#&gt; 2.5% 97.5%
+#&gt; parent_0 96.456003640 1.027703e+02
+#&gt; k_parent 0.090911032 1.071578e-01
+#&gt; k_m1 0.003892605 6.702778e-03
+#&gt; f_parent_to_m1 0.471328495 5.611550e-01
+#&gt; sigma 2.535612399 3.985263e+00</div><div class='input'><span class='no'>ci_quadratic_transformed</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)
+<span class='no'>ci_quadratic_transformed</span></div><div class='output co'>#&gt; 2.5% 97.5%
+#&gt; parent_0 96.403839460 1.027931e+02
+#&gt; k_parent 0.090823790 1.072543e-01
+#&gt; k_m1 0.004012216 6.897547e-03
+#&gt; f_parent_to_m1 0.469118713 5.595960e-01
+#&gt; sigma 2.396089689 3.854918e+00</div><div class='input'><span class='no'>ci_quadratic_untransformed</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>, <span class='kw'>transformed</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
+<span class='no'>ci_quadratic_untransformed</span></div><div class='output co'>#&gt; 2.5% 97.5%
+#&gt; parent_0 96.403839413 1.027931e+02
+#&gt; k_parent 0.090491931 1.069035e-01
+#&gt; k_m1 0.003835483 6.685819e-03
+#&gt; f_parent_to_m1 0.469113365 5.598386e-01
+#&gt; sigma 2.396089689 3.854918e+00</div><div class='input'><span class='co'># Against the expectation based on Bates and Watts (1988), the confidence</span>
<span class='co'># intervals based on the internal parameter transformation are less</span>
<span class='co'># congruent with the likelihood based intervals. Note the superiority of the</span>
<span class='co'># interval based on the untransformed fit for k_m1_sink</span>
-<span class='no'>rel_diffs_transformed</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_transformed</span> - <span class='no'>ci_profile</span>)/<span class='no'>ci_profile</span>)</div><div class='output co'>#&gt; <span class='error'>Error in eval(expr, envir, enclos): Objekt 'ci_profile' nicht gefunden</span></div><div class='input'><span class='no'>rel_diffs_untransformed</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_untransformed</span> - <span class='no'>ci_profile</span>)/<span class='no'>ci_profile</span>)</div><div class='output co'>#&gt; <span class='error'>Error in eval(expr, envir, enclos): Objekt 'ci_profile' nicht gefunden</span></div><div class='input'><span class='no'>rel_diffs_transformed</span> <span class='kw'>&lt;</span> <span class='no'>rel_diffs_untransformed</span></div><div class='output co'>#&gt; <span class='error'>Error in eval(expr, envir, enclos): Objekt 'rel_diffs_transformed' nicht gefunden</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span>(<span class='no'>rel_diffs_transformed</span>, <span class='fl'>3</span>)</div><div class='output co'>#&gt; <span class='error'>Error in eval(expr, envir, enclos): Objekt 'rel_diffs_transformed' nicht gefunden</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span>(<span class='no'>rel_diffs_untransformed</span>, <span class='fl'>3</span>)</div><div class='output co'>#&gt; <span class='error'>Error in eval(expr, envir, enclos): Objekt 'rel_diffs_untransformed' nicht gefunden</span></div><div class='input'>
+<span class='no'>rel_diffs_transformed</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_transformed</span> - <span class='no'>ci_profile</span>)/<span class='no'>ci_profile</span>)
+<span class='no'>rel_diffs_untransformed</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_untransformed</span> - <span class='no'>ci_profile</span>)/<span class='no'>ci_profile</span>)
+<span class='no'>rel_diffs_transformed</span> <span class='kw'>&lt;</span> <span class='no'>rel_diffs_untransformed</span></div><div class='output co'>#&gt; 2.5% 97.5%
+#&gt; parent_0 TRUE TRUE
+#&gt; k_parent TRUE TRUE
+#&gt; k_m1 FALSE FALSE
+#&gt; f_parent_to_m1 TRUE FALSE
+#&gt; sigma FALSE FALSE</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span>(<span class='no'>rel_diffs_transformed</span>, <span class='fl'>3</span>)</div><div class='output co'>#&gt; 2.5% 97.5%
+#&gt; parent_0 0.000541 0.000222
+#&gt; k_parent 0.000960 0.000900
+#&gt; k_m1 0.030700 0.029100
+#&gt; f_parent_to_m1 0.004690 0.002780
+#&gt; sigma 0.055000 0.032700</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span>(<span class='no'>rel_diffs_untransformed</span>, <span class='fl'>3</span>)</div><div class='output co'>#&gt; 2.5% 97.5%
+#&gt; parent_0 0.000541 0.000222
+#&gt; k_parent 0.004610 0.002370
+#&gt; k_m1 0.014700 0.002530
+#&gt; f_parent_to_m1 0.004700 0.002350
+#&gt; sigma 0.055000 0.032700</div><div class='input'>
<span class='co'># Investigate a case with formation fractions</span>
<span class='no'>f_d_2</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO.ff</span>, <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span>(<span class='no'>FOCUS_2006_D</span>, <span class='no'>value</span> <span class='kw'>!=</span> <span class='fl'>0</span>), <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='no'>ci_profile_ff</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_2</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='no'>n_cores</span>)</div><div class='output co'>#&gt; <span class='message'>Profiling the likelihood</span></div><div class='input'><span class='no'>ci_profile_ff</span></div><div class='output co'>#&gt; 2.5% 97.5%
-#&gt; parent_0 96.456003650 1.027703e+02
+#&gt; parent_0 96.456003640 1.027703e+02
#&gt; k_parent 0.090911032 1.071578e-01
#&gt; k_m1 0.003892605 6.702778e-03
#&gt; f_parent_to_m1 0.471328495 5.611550e-01
#&gt; sigma 2.535612399 3.985263e+00</div><div class='input'><span class='no'>ci_quadratic_transformed_ff</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_2</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)
<span class='no'>ci_quadratic_transformed_ff</span></div><div class='output co'>#&gt; 2.5% 97.5%
-#&gt; parent_0 96.403839992 1.027931e+02
+#&gt; parent_0 96.403839460 1.027931e+02
#&gt; k_parent 0.090823790 1.072543e-01
#&gt; k_m1 0.004012216 6.897547e-03
-#&gt; f_parent_to_m1 0.469118711 5.595960e-01
+#&gt; f_parent_to_m1 0.469118713 5.595960e-01
#&gt; sigma 2.396089689 3.854918e+00</div><div class='input'><span class='no'>ci_quadratic_untransformed_ff</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_2</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>, <span class='kw'>transformed</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='no'>ci_quadratic_untransformed_ff</span></div><div class='output co'>#&gt; 2.5% 97.5%
-#&gt; parent_0 96.403839944 1.027931e+02
+#&gt; parent_0 96.403839413 1.027931e+02
#&gt; k_parent 0.090491931 1.069035e-01
#&gt; k_m1 0.003835483 6.685819e-03
-#&gt; f_parent_to_m1 0.469113362 5.598386e-01
+#&gt; f_parent_to_m1 0.469113365 5.598386e-01
#&gt; sigma 2.396089689 3.854918e+00</div><div class='input'><span class='no'>rel_diffs_transformed_ff</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_transformed_ff</span> - <span class='no'>ci_profile_ff</span>)/<span class='no'>ci_profile_ff</span>)
<span class='no'>rel_diffs_untransformed_ff</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_untransformed_ff</span> - <span class='no'>ci_profile_ff</span>)/<span class='no'>ci_profile_ff</span>)
<span class='co'># While the confidence interval for the parent rate constant is closer to</span>
@@ -318,15 +347,15 @@ On Windows machines, cores &gt; 1 is currently not supported.</p></td>
#&gt; k_m1 FALSE FALSE
#&gt; f_parent_to_m1 TRUE FALSE
#&gt; sigma FALSE FALSE</div><div class='input'><span class='no'>rel_diffs_transformed_ff</span></div><div class='output co'>#&gt; 2.5% 97.5%
-#&gt; parent_0 0.0005408026 0.0002217846
-#&gt; k_parent 0.0009596414 0.0009003877
-#&gt; k_m1 0.0307277403 0.0290579212
-#&gt; f_parent_to_m1 0.0046884168 0.0027782604
+#&gt; parent_0 0.0005408080 0.0002217794
+#&gt; k_parent 0.0009596417 0.0009003876
+#&gt; k_m1 0.0307277370 0.0290579182
+#&gt; f_parent_to_m1 0.0046884130 0.0027782556
#&gt; sigma 0.0550252516 0.0327066836</div><div class='input'><span class='no'>rel_diffs_untransformed_ff</span></div><div class='output co'>#&gt; 2.5% 97.5%
-#&gt; parent_0 0.0005408031 0.0002217851
-#&gt; k_parent 0.0046100089 0.0023730230
-#&gt; k_m1 0.0146746442 0.0025300972
-#&gt; f_parent_to_m1 0.0046997642 0.0023460268
+#&gt; parent_0 0.0005408085 0.0002217799
+#&gt; k_parent 0.0046100096 0.0023730229
+#&gt; k_m1 0.0146746469 0.0025301011
+#&gt; f_parent_to_m1 0.0046997599 0.0023460223
#&gt; sigma 0.0550252516 0.0327066836</div><div class='input'>
<span class='co'># The profiling for the following fit does not finish in a reasonable time,</span>
<span class='co'># therefore we use the quadratic approximation</span>
@@ -337,29 +366,24 @@ On Windows machines, cores &gt; 1 is currently not supported.</p></td>
<span class='no'>DFOP_par_c</span> <span class='kw'>&lt;-</span> <span class='no'>synthetic_data_for_UBA_2014</span><span class='kw'>[[</span><span class='fl'>12</span>]]$<span class='no'>data</span>
<span class='no'>f_tc_2</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>m_synth_DFOP_par</span>, <span class='no'>DFOP_par_c</span>, <span class='kw'>error_model</span> <span class='kw'>=</span> <span class='st'>"tc"</span>,
<span class='kw'>error_model_algorithm</span> <span class='kw'>=</span> <span class='st'>"direct"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
-<span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_tc_2</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)</div><div class='output co'>#&gt; 2.5% 97.5%
-#&gt; parent_0 94.596218141 106.19934683
-#&gt; k_M1 0.037605440 0.04490756
-#&gt; k_M2 0.008568747 0.01087674
-#&gt; f_parent_to_M1 0.021466788 0.62023878
-#&gt; f_parent_to_M2 0.015168650 0.37975352
-#&gt; k1 0.273897581 0.33388066
-#&gt; k2 0.018614556 0.02250379
-#&gt; g 0.671943831 0.73583255
-#&gt; sigma_low 0.251283700 0.83992071
-#&gt; rsd_high 0.040411017 0.07662005</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_tc_2</span>, <span class='st'>"parent_0"</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)</div><div class='output co'>#&gt; 2.5% 97.5%
-#&gt; parent_0 94.59622 106.1993</div><div class='input'># }
+<span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_tc_2</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)</div><div class='output co'>#&gt; 2.5% 97.5%
+#&gt; parent_0 94.59613833 106.19939215
+#&gt; k_M1 0.03760542 0.04490759
+#&gt; k_M2 0.00856874 0.01087675
+#&gt; f_parent_to_M1 0.02146166 0.62023888
+#&gt; f_parent_to_M2 0.01516502 0.37975343
+#&gt; k1 0.27389751 0.33388078
+#&gt; k2 0.01861456 0.02250379
+#&gt; g 0.67194349 0.73583256
+#&gt; sigma_low 0.25128383 0.83992146
+#&gt; rsd_high 0.04041100 0.07662001</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_tc_2</span>, <span class='st'>"parent_0"</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)</div><div class='output co'>#&gt; 2.5% 97.5%
+#&gt; parent_0 94.59614 106.1994</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="#references">References</a></li>
- <li><a href="#examples">Examples</a></li>
- </ul>
-
+ <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+ <nav id="toc" data-toggle="toc" class="sticky-top">
+ <h2 data-toc-skip>Contents</h2>
+ </nav>
</div>
</div>
@@ -370,7 +394,7 @@ On Windows machines, cores &gt; 1 is currently not supported.</p></td>
</div>
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- <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.4.1.</p>
+ <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
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