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authorJohannes Ranke <jranke@uni-bremen.de>2022-03-09 09:51:06 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2022-03-09 09:51:06 +0100
commit72ef221369df14a527c2751c002b5cf3db29520d (patch)
tree2a42de4ee8ad6ecc8ad8e00569cbd06f35712390
parent48a532256cfe466f082c191956535045e85ea929 (diff)
Fix link to saem.mmkin from README
Thanks to Uwe Ligges for spotting this inmidst of a lot of ambiguous URL check results.
-rw-r--r--README.html6
-rw-r--r--README.md2
-rw-r--r--docs/index.html2
-rw-r--r--docs/pkgdown.yml2
4 files changed, 8 insertions, 4 deletions
diff --git a/README.html b/README.html
index 68c11a37..dc5bbcb9 100644
--- a/README.html
+++ b/README.html
@@ -254,6 +254,7 @@ if (window.hljs) {
+
<style type="text/css">
.main-container {
max-width: 940px;
@@ -275,6 +276,9 @@ button.code-folding-btn:focus {
summary {
display: list-item;
}
+details > summary > p:only-child {
+ display: inline;
+}
pre code {
padding: 0;
}
@@ -403,7 +407,7 @@ pre code {
<li>By default, kinetic rate constants and kinetic formation fractions are transformed internally using <a href="https://pkgdown.jrwb.de/mkin/reference/transform_odeparms.html"><code>transform_odeparms</code></a> so their estimators can more reasonably be expected to follow a normal distribution.</li>
<li>When parameter estimates are backtransformed to match the model definition, confidence intervals calculated from standard errors are also backtransformed to the correct scale, and will not include meaningless values like negative rate constants or formation fractions adding up to more than 1, which cannot occur in a single experiment with a single defined radiolabel position.</li>
<li>When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite. Mathematically, the SFORB model is equivalent to the DFOP model used by other tools for biphasic metabolite curves. However, the SFORB model has the advantage that there is a mechanistic interpretation of the model parameters.</li>
-<li>Nonlinear mixed-effects models can be created from fits of the same degradation model to different datasets for the same compound by using the <a href="https://pkgdown.jrwb.de/mkin/reference/nlme.mmkin.html">nlme.mmkin</a> method. Note that the convergence of the nlme fits depends on the quality of the data. Convergence is better for simple models and data for many groups (e.g. soils).</li>
+<li>Nonlinear mixed-effects models can be created from fits of the same degradation model to different datasets for the same compound by using the <a href="https://pkgdown.jrwb.de/mkin/reference/nlme.mmkin.html">nlme.mmkin</a> and <a href="https://pkgdown.jrwb.de/mkin/reference/saem.html">saem.mmkin</a> and methods. Note that the convergence of the nlme fits depends on the quality of the data. Convergence is better for simple models and data for many groups (e.g. soils). The saem method uses the <code>saemix</code> package as a backend. Analytical solutions suitable for use with this package have been implemented for parent only models and the most important models including one metabolite (SFO-SFO and DFOP-SFO). Fitting other models with <code>saem.mmkin</code>, while it makes use of the compiled ODE models that mkin provides, has longer run times (at least six minutes on my system).</li>
</ul>
</div>
<div id="performance" class="section level3">
diff --git a/README.md b/README.md
index b55b0bc7..b864fe79 100644
--- a/README.md
+++ b/README.md
@@ -97,7 +97,7 @@ version is found in the ['dev' subdirectory](https://pkgdown.jrwb.de/mkin/dev/).
* Nonlinear mixed-effects models can be created from fits of the same degradation
model to different datasets for the same compound by using the
[nlme.mmkin](https://pkgdown.jrwb.de/mkin/reference/nlme.mmkin.html) and
- [saem.mmkin](https://pkgdown.jrwb.de/mkin/reference/saem.mmkin.html) and
+ [saem.mmkin](https://pkgdown.jrwb.de/mkin/reference/saem.html) and
methods. Note that the convergence of the nlme fits depends on the quality of
the data. Convergence is better for simple models and data for many groups
(e.g. soils). The saem method uses the `saemix` package as a backend. Analytical
diff --git a/docs/index.html b/docs/index.html
index 02b4011c..9b5b34a1 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -163,7 +163,7 @@
<li>By default, kinetic rate constants and kinetic formation fractions are transformed internally using <a href="https://pkgdown.jrwb.de/mkin/reference/transform_odeparms.html"><code>transform_odeparms</code></a> so their estimators can more reasonably be expected to follow a normal distribution.</li>
<li>When parameter estimates are backtransformed to match the model definition, confidence intervals calculated from standard errors are also backtransformed to the correct scale, and will not include meaningless values like negative rate constants or formation fractions adding up to more than 1, which cannot occur in a single experiment with a single defined radiolabel position.</li>
<li>When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite. Mathematically, the SFORB model is equivalent to the DFOP model used by other tools for biphasic metabolite curves. However, the SFORB model has the advantage that there is a mechanistic interpretation of the model parameters.</li>
-<li>Nonlinear mixed-effects models can be created from fits of the same degradation model to different datasets for the same compound by using the <a href="https://pkgdown.jrwb.de/mkin/reference/nlme.mmkin.html">nlme.mmkin</a> and <a href="https://pkgdown.jrwb.de/mkin/reference/saem.mmkin.html">saem.mmkin</a> and methods. Note that the convergence of the nlme fits depends on the quality of the data. Convergence is better for simple models and data for many groups (e.g. soils). The saem method uses the <code>saemix</code> package as a backend. Analytical solutions suitable for use with this package have been implemented for parent only models and the most important models including one metabolite (SFO-SFO and DFOP-SFO). Fitting other models with <code>saem.mmkin</code>, while it makes use of the compiled ODE models that mkin provides, has longer run times (at least six minutes on my system).</li>
+<li>Nonlinear mixed-effects models can be created from fits of the same degradation model to different datasets for the same compound by using the <a href="https://pkgdown.jrwb.de/mkin/reference/nlme.mmkin.html">nlme.mmkin</a> and <a href="https://pkgdown.jrwb.de/mkin/reference/saem.html">saem.mmkin</a> and methods. Note that the convergence of the nlme fits depends on the quality of the data. Convergence is better for simple models and data for many groups (e.g. soils). The saem method uses the <code>saemix</code> package as a backend. Analytical solutions suitable for use with this package have been implemented for parent only models and the most important models including one metabolite (SFO-SFO and DFOP-SFO). Fitting other models with <code>saem.mmkin</code>, while it makes use of the compiled ODE models that mkin provides, has longer run times (at least six minutes on my system).</li>
</ul>
</div>
<div class="section level3">
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index a22f7103..d789805b 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -11,7 +11,7 @@ articles:
benchmarks: web_only/benchmarks.html
compiled_models: web_only/compiled_models.html
dimethenamid_2018: web_only/dimethenamid_2018.html
-last_built: 2022-03-07T20:48Z
+last_built: 2022-03-09T08:50Z
urls:
reference: https://pkgdown.jrwb.de/mkin/reference
article: https://pkgdown.jrwb.de/mkin/articles

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