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| author | Johannes Ranke <jranke@uni-bremen.de> | 2022-11-17 14:54:20 +0100 | 
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2022-11-17 14:56:25 +0100 | 
| commit | e5d1df9a9b1f0951d7dfbaf24eee4294470b73e2 (patch) | |
| tree | 18740ef050a68d1a6fe91f1bd2fdfdd97ac6448b /docs/reference/mhmkin.html | |
| parent | 90354f5cd9e095f9ef98424689a2716770b248d4 (diff) | |
Complete update of online docs for v1.2.0
Diffstat (limited to 'docs/reference/mhmkin.html')
| -rw-r--r-- | docs/reference/mhmkin.html | 43 | 
1 files changed, 35 insertions, 8 deletions
| diff --git a/docs/reference/mhmkin.html b/docs/reference/mhmkin.html index 25be0af6..e4b3e9d0 100644 --- a/docs/reference/mhmkin.html +++ b/docs/reference/mhmkin.html @@ -22,7 +22,7 @@ mixed-effects model fitting functions."><!-- mathjax --><script src="https://cdn        </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">1.1.2</span> +        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.2.0</span>        </span>      </div> @@ -49,19 +49,25 @@ mixed-effects model fitting functions."><!-- mathjax --><script src="https://cdn        <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>        <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> +      <a href="../articles/web_only/benchmarks.html">Benchmark timings for mkin</a> +    </li> +    <li> +      <a href="../articles/web_only/saem_benchmarks.html">Benchmark timings for saem.mmkin</a>      </li>    </ul></li>  <li> @@ -96,12 +102,18 @@ mixed-effects model fitting functions.</p>      </div>      <div id="ref-usage"> -    <div class="sourceCode"><pre><code>mhmkin(objects, backend = "saemix", algorithm = "saem", ...) +    <div class="sourceCode"><pre><code>mhmkin(objects, ...) + +# S3 method for mmkin +mhmkin(objects, ...)  # S3 method for list  mhmkin(    objects,    backend = "saemix", +  algorithm = "saem", +  no_random_effect = NULL, +  auto_ranef_threshold = 3,    ...,    cores = if (Sys.info()["sysname"] == "Windows") 1 else parallel::detectCores(),    cluster = NULL @@ -118,7 +130,14 @@ print(x, ...)</code></pre></div>      <h2>Arguments</h2>      <dl><dt>objects</dt>  <dd><p>A list of <a href="mmkin.html">mmkin</a> objects containing fits of the same -degradation models to the same data, but using different error models.</p></dd> +degradation models to the same data, but using different error models. +Alternatively, a single <a href="mmkin.html">mmkin</a> object containing fits of several +degradation models to the same data</p></dd> + + +<dt>...</dt> +<dd><p>Further arguments that will be passed to the nonlinear mixed-effects +model fitting function.</p></dd>  <dt>backend</dt> @@ -130,9 +149,17 @@ supported</p></dd>  <dd><p>The algorithm to be used for fitting (currently not used)</p></dd> -<dt>...</dt> -<dd><p>Further arguments that will be passed to the nonlinear mixed-effects -model fitting function.</p></dd> +<dt>no_random_effect</dt> +<dd><p>Default is NULL and will be passed to <a href="saem.html">saem</a>. If +you specify "auto", random effects are only included if the number +of datasets in which the parameter passed the t-test is at least 'auto_ranef_threshold'. +Beware that while this may make for convenient model reduction or even +numerical stability of the algorithm, it will likely lead to +underparameterised models.</p></dd> + + +<dt>auto_ranef_threshold</dt> +<dd><p>See 'no_random_effect.</p></dd>  <dt>cores</dt> | 
