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-rw-r--r--docs/reference/nlme.html31
1 files changed, 14 insertions, 17 deletions
diff --git a/docs/reference/nlme.html b/docs/reference/nlme.html
index 3462e52e..85929929 100644
--- a/docs/reference/nlme.html
+++ b/docs/reference/nlme.html
@@ -43,7 +43,7 @@
<meta property="og:description" content="These functions facilitate setting up a nonlinear mixed effects model for
an mmkin row object. An mmkin row object is essentially a list of mkinfit
objects that have been obtained by fitting the same model to a list of
-datasets. They are used internally by the nlme.mmkin() method." />
+datasets." />
@@ -75,7 +75,7 @@ datasets. They are used internally by the nlme.mmkin() method." />
</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">0.9.50.3</span>
+ <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.50.2</span>
</span>
</div>
@@ -112,9 +112,6 @@ datasets. They are used internally by the nlme.mmkin() method." />
<li>
<a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
</li>
- <li>
- <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
- </li>
</ul>
</li>
<li>
@@ -150,7 +147,7 @@ datasets. They are used internally by the nlme.mmkin() method." />
<p>These functions facilitate setting up a nonlinear mixed effects model for
an mmkin row object. An mmkin row object is essentially a list of mkinfit
objects that have been obtained by fitting the same model to a list of
-datasets. They are used internally by the <code><a href='nlme.mmkin.html'>nlme.mmkin()</a></code> method.</p>
+datasets.</p>
</div>
<pre class="usage"><span class='fu'>nlme_function</span>(<span class='no'>object</span>)
@@ -178,7 +175,7 @@ datasets. They are used internally by the <code><a href='nlme.mmkin.html'>nlme.m
<p>If random is FALSE (default), a named vector containing mean values
of the fitted degradation model parameters. If random is TRUE, a list with
fixed and random effects, in the format required by the start argument of
-nlme for the case of a single grouping variable ds.</p>
+nlme for the case of a single grouping variable ds?</p>
<p>A <code><a href='https://rdrr.io/pkg/nlme/man/groupedData.html'>groupedData</a></code> object</p>
<h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
@@ -225,28 +222,28 @@ nlme for the case of a single grouping variable ds.</p>
#&gt; Model: value ~ nlme_f(name, time, parent_0, log_k_parent_sink)
#&gt; Data: grouped_data
#&gt; AIC BIC logLik
-#&gt; 298.2781 307.7372 -144.1391
+#&gt; 252.7798 262.1358 -121.3899
#&gt;
#&gt; Random effects:
#&gt; Formula: list(parent_0 ~ 1, log_k_parent_sink ~ 1)
#&gt; Level: ds
#&gt; Structure: Diagonal
-#&gt; parent_0 log_k_parent_sink Residual
-#&gt; StdDev: 0.9374733 0.7098105 3.83543
+#&gt; parent_0 log_k_parent_sink Residual
+#&gt; StdDev: 0.004139378 0.6800778 2.489396
#&gt;
#&gt; Fixed effects: parent_0 + log_k_parent_sink ~ 1
-#&gt; Value Std.Error DF t-value p-value
-#&gt; parent_0 101.76838 1.1445444 45 88.91606 0
-#&gt; log_k_parent_sink -3.05444 0.4195622 45 -7.28008 0
+#&gt; Value Std.Error DF t-value p-value
+#&gt; parent_0 101.74884 0.6456057 44 157.60213 0
+#&gt; log_k_parent_sink -3.05575 0.4015812 44 -7.60929 0
#&gt; Correlation:
#&gt; prnt_0
-#&gt; log_k_parent_sink 0.034
+#&gt; log_k_parent_sink 0.026
#&gt;
#&gt; Standardized Within-Group Residuals:
-#&gt; Min Q1 Med Q3 Max
-#&gt; -2.6169360 -0.2185329 0.0574070 0.5720937 3.0459868
+#&gt; Min Q1 Med Q3 Max
+#&gt; -2.13168782 -0.68780415 0.08282907 0.85913228 2.95298904
#&gt;
-#&gt; Number of Observations: 49
+#&gt; Number of Observations: 48
#&gt; Number of Groups: 3 </div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/plot.html'>plot</a></span>(<span class='fu'><a href='https://rdrr.io/pkg/nlme/man/augPred.html'>augPred</a></span>(<span class='no'>m_nlme</span>, <span class='kw'>level</span> <span class='kw'>=</span> <span class='fl'>0</span>:<span class='fl'>1</span>), <span class='kw'>layout</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>3</span>, <span class='fl'>1</span>))</div><div class='img'><img src='nlme-1.png' alt='' width='700' height='433' /></div><div class='input'># augPred does not seem to work on fits with more than one state
# variable

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