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-rw-r--r--docs/dev/reference/summary.saem.mmkin.html39
1 files changed, 23 insertions, 16 deletions
diff --git a/docs/dev/reference/summary.saem.mmkin.html b/docs/dev/reference/summary.saem.mmkin.html
index 1a6da753..d8a41356 100644
--- a/docs/dev/reference/summary.saem.mmkin.html
+++ b/docs/dev/reference/summary.saem.mmkin.html
@@ -21,7 +21,7 @@ endpoints such as formation fractions and DT50 values. Optionally
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">mkin</a>
- <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
+ <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.2.0</span>
</span>
</div>
@@ -48,12 +48,15 @@ endpoints such as formation fractions and DT50 values. Optionally
<a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
</li>
<li>
- <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+ <a href="../articles/web_only/multistart.html">Short demo of the multistart method</a>
</li>
<li>
<a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
</li>
<li>
+ <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+ </li>
+ <li>
<a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
</li>
<li>
@@ -262,7 +265,6 @@ saemix authors for the parts inherited from saemix.</p>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "sd(parent_0)" "sd(log_k_m1)" "sd(g_qlogis)"</span>
<span class="r-in"><span><span class="va">f_saem_dfop_sfo_2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span>, covariance.model <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/diag.html" class="external-link">diag</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">1</span>, <span class="fl">1</span>, <span class="fl">0</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="illparms.html">illparms</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo_2</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> character(0)</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/intervals.html" class="external-link">intervals</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo_2</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Approximate 95% confidence intervals</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
@@ -286,11 +288,11 @@ saemix authors for the parts inherited from saemix.</p>
<span class="r-out co"><span class="r-pr">#&gt;</span> a.1 0.70273100 0.88750764 1.07228428</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> b.1 0.06781347 0.08328016 0.09874685</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo_2</span>, data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> saemix version used for fitting: 3.1 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> mkin version used for pre-fitting: 1.1.2 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> R version used for fitting: 4.2.1 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Date of fit: Fri Sep 16 10:31:33 2022 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Date of summary: Fri Sep 16 10:31:33 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> saemix version used for fitting: 3.2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mkin version used for pre-fitting: 1.2.0 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> R version used for fitting: 4.2.2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of fit: Tue Nov 1 14:12:50 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of summary: Tue Nov 1 14:12:50 2022 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Equations:</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span>
@@ -305,7 +307,7 @@ saemix authors for the parts inherited from saemix.</p>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Model predictions using solution type analytical </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted in 27.615 s</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted in 25.006 s</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Using 300, 100 iterations and 10 chains</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Variance model: Two-component variance function </span>
@@ -326,13 +328,18 @@ saemix authors for the parts inherited from saemix.</p>
<span class="r-out co"><span class="r-pr">#&gt;</span> 825.6 821.3 -401.8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Optimised parameters:</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> est. lower upper</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 100.4624 97.5484 103.3763</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_m1 -4.0576 -4.1504 -3.9647</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis -0.9136 -1.3240 -0.5031</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> log_k1 -2.8822 -3.6302 -2.1341</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> log_k2 -3.6307 -4.3226 -2.9388</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> g_qlogis 0.0519 -0.7783 0.8821</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> est. lower upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 100.46239 97.54845 103.37634</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_m1 -4.05756 -4.15040 -3.96472</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis -0.91358 -1.32403 -0.50312</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k1 -2.88215 -3.63019 -2.13412</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k2 -3.63069 -4.32261 -2.93876</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g_qlogis 0.05190 -0.77834 0.88213</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a.1 0.88751 0.70273 1.07228</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> b.1 0.08328 0.06781 0.09875</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.f_parent_qlogis 0.44712 0.16584 0.72840</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k1 0.79292 0.27688 1.30896</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k2 0.75661 0.26936 1.24386</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Correlation: </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> parnt_0 lg_k_m1 f_prnt_ log_k1 log_k2 </span>

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